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2020 – today
- 2024
[j20]Federico Landini
, Mireia Díez, Themos Stafylakis, Lukás Burget:
DiaPer: End-to-End Neural Diarization With Perceiver-Based Attractors. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3450-3465 (2024)- [c207]Jiangyu Han, Federico Landini, Johan Rohdin, Mireia Díez, Lukás Burget, Yuhang Cao, Heng Lu, Jan Cernocký:
Diacorrect: Error Correction Back-End for Speaker Diarization. ICASSP 2024: 11181-11185 - [c206]Karel Benes, Martin Kocour, Lukás Burget:
Hystoc: Obtaining Word Confidences for Fusion of End-To-End ASR Systems. ICASSP 2024: 11276-11280 - [c205]Dominik Klement, Mireia Díez, Federico Landini, Lukás Burget, Anna Silnova, Marc Delcroix, Naohiro Tawara:
Discriminative Training of VBx Diarization. ICASSP 2024: 11871-11875 - [c204]Lin Zhang, Themos Stafylakis, Federico Landini, Mireia Díez, Anna Silnova, Lukás Burget:
Do End-to-End Neural Diarization Attractors Need to Encode Speaker Characteristic Information? Odyssey 2024: 123-130 - [i58]Lin Zhang, Themos Stafylakis, Federico Landini, Mireia Díez, Anna Silnova, Lukás Burget:
Do End-to-End Neural Diarization Attractors Need to Encode Speaker Characteristic Information? CoRR abs/2402.19325 (2024) - [i57]Jan Pesán, Santosh Kesiraju, Lukás Burget, Jan Honza Cernocký:
Beyond the Labels: Unveiling Text-Dependency in Paralinguistic Speech Recognition Datasets. CoRR abs/2403.07767 (2024) - [i56]Hossein Zeinali, Kong Aik Lee, Jahangir Alam, Lukás Burget:
Text-dependent Speaker Verification (TdSV) Challenge 2024: Challenge Evaluation Plan. CoRR abs/2404.13428 (2024) - [i55]Johan Rohdin, Lin Zhang, Oldrich Plchot, Vojtech Stanek, David Mihola, Junyi Peng, Themos Stafylakis, Dmitriy Beveraki, Anna Silnova, Jan Brukner, Lukás Burget:
BUT Systems and Analyses for the ASVspoof 5 Challenge. CoRR abs/2408.11152 (2024) - [i54]Jiangyu Han, Federico Landini, Johan Rohdin, Anna Silnova, Mireia Díez, Lukás Burget:
Leveraging Self-Supervised Learning for Speaker Diarization. CoRR abs/2409.09408 (2024) - [i53]Alexander Polok, Dominik Klement, Matthew Wiesner, Sanjeev Khudanpur, Jan Cernocký, Lukás Burget:
Target Speaker ASR with Whisper. CoRR abs/2409.09543 (2024) - [i52]Junyi Peng, Ladislav Mosner, Lin Zhang, Oldrich Plchot, Themos Stafylakis, Lukás Burget, Jan Cernocký:
CA-MHFA: A Context-Aware Multi-Head Factorized Attentive Pooling for SSL-Based Speaker Verification. CoRR abs/2409.15234 (2024) - 2023
- [j19]Dong Yu, Yifan Gong, Michael A. Picheny, Bhuvana Ramabhadran, Dilek Hakkani-Tür, Rohit Prasad, Heiga Zen, Jan Skoglund, Jan Honza Cernocký, Lukás Burget, Abdelrahman Mohamed:
Twenty-Five Years of Evolution in Speech and Language Processing. IEEE Signal Process. Mag. 40(5): 27-39 (2023) - [c203]Sofoklis Kakouros, Themos Stafylakis, Ladislav Mosner, Lukás Burget:
Speech-Based Emotion Recognition with Self-Supervised Models Using Attentive Channel-Wise Correlations and Label Smoothing. ICASSP 2023: 1-5 - [c202]Federico Landini, Mireia Díez, Alicia Lozano-Diez, Lukás Burget:
Multi-Speaker and Wide-Band Simulated Conversations as Training Data for End-to-End Neural Diarization. ICASSP 2023: 1-5 - [c201]Junyi Peng, Themos Stafylakis, Rongzhi Gu, Oldrich Plchot, Ladislav Mosner, Lukás Burget, Jan Cernocký:
Parameter-Efficient Transfer Learning of Pre-Trained Transformer Models for Speaker Verification Using Adapters. ICASSP 2023: 1-5 - [c200]Anna Silnova, Niko Brümmer, Albert Swart, Lukás Burget:
Toroidal Probabilistic Spherical Discriminant Analysis. ICASSP 2023: 1-5 - [c199]Pavel Matejka, Anna Silnova, Josef Slavícek, Ladislav Mosner, Oldrich Plchot, Michal Klco, Junyi Peng, Themos Stafylakis, Lukás Burget:
Description and Analysis of ABC Submission to NIST LRE 2022. INTERSPEECH 2023: 511-515 - [c198]Ladislav Mosner, Oldrich Plchot, Junyi Peng, Lukás Burget, Jan Cernocký:
Multi-Channel Speech Separation with Cross-Attention and Beamforming. INTERSPEECH 2023: 1693-1697 - [c197]Marc Delcroix, Naohiro Tawara, Mireia Díez, Federico Landini, Anna Silnova, Atsunori Ogawa, Tomohiro Nakatani, Lukás Burget, Shoko Araki:
Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx) for Combined End-to-End and Vector Clustering-based Diarization. INTERSPEECH 2023: 3477-3481 - [c196]Junyi Peng, Oldrich Plchot, Themos Stafylakis, Ladislav Mosner, Lukás Burget, Jan Cernocký:
Improving Speaker Verification with Self-Pretrained Transformer Models. INTERSPEECH 2023: 5361-5365 - [i51]Martin Sustek, Samik Sadhu, Lukás Burget, Hynek Hermansky, Jesús Villalba, Laureano Moro-Velázquez, Najim Dehak:
Stabilized training of joint energy-based models and their practical applications. CoRR abs/2303.04187 (2023) - [i50]Karel Benes, Martin Kocour, Lukás Burget:
Hystoc: Obtaining word confidences for fusion of end-to-end ASR systems. CoRR abs/2305.12579 (2023) - [i49]Marc Delcroix, Naohiro Tawara, Mireia Díez, Federico Landini, Anna Silnova, Atsunori Ogawa, Tomohiro Nakatani, Lukás Burget, Shoko Araki:
Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx) for Combined End-to-End and Vector Clustering-based Diarization. CoRR abs/2305.13580 (2023) - [i48]Jiangyu Han, Federico Landini, Johan Rohdin, Mireia Díez, Lukás Burget, Yuhang Cao, Heng Lu, Jan Cernocký:
DiaCorrect: Error Correction Back-end For Speaker Diarization. CoRR abs/2309.08377 (2023) - [i47]Dominik Klement, Mireia Díez, Federico Landini, Lukás Burget, Anna Silnova, Marc Delcroix, Naohiro Tawara:
Discriminative Training of VBx Diarization. CoRR abs/2310.02732 (2023) - [i46]Federico Landini, Mireia Díez, Themos Stafylakis, Lukás Burget:
DiaPer: End-to-End Neural Diarization with Perceiver-Based Attractors. CoRR abs/2312.04324 (2023) - 2022
- [j18]Federico Landini, Ján Profant, Mireia Díez, Lukás Burget:
Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: Theory, implementation and analysis on standard tasks. Comput. Speech Lang. 71: 101254 (2022) - [j17]Ekaterina Egorova, Hari Krishna Vydana, Lukás Burget, Jan Honza Cernocký:
Spelling-Aware Word-Based End-to-End ASR. IEEE Signal Process. Lett. 29: 1729-1733 (2022) - [j16]Lucas Ondel, Bolaji Yusuf, Lukás Burget, Murat Saraçlar:
Non-Parametric Bayesian Subspace Models for Acoustic Unit Discovery. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1902-1917 (2022) - [c195]Martin Kocour, Jahnavi Umesh, Martin Karafiát, Jan Svec, Fernando López, Jordi Luque, Karel Benes, Mireia Díez, Igor Szöke, Karel Veselý, Lukás Burget, Jan Cernocký:
BCN2BRNO: ASR System Fusion for Albayzin 2022 Speech to Text Challenge. IberSPEECH 2022: 276-280 - [c194]Jiangyu Han, Yanhua Long, Lukás Burget, Jan Cernocký:
DPCCN: Densely-Connected Pyramid Complex Convolutional Network for Robust Speech Separation and Extraction. ICASSP 2022: 7292-7296 - [c193]Ladislav Mosner, Oldrich Plchot, Lukás Burget, Jan Honza Cernocký:
Multisv: Dataset for Far-Field Multi-Channel Speaker Verification. ICASSP 2022: 7977-7981 - [c192]Ladislav Mosner, Oldrich Plchot, Lukás Burget, Jan Honza Cernocký:
Multi-Channel Speaker Verification with Conv-Tasnet Based Beamformer. ICASSP 2022: 7982-7986 - [c191]Lucas Ondel, Léa-Marie Lam-Yee-Mui, Martin Kocour, Caio Filippo Corro, Lukás Burget:
GPU-Accelerated Forward-Backward Algorithm with Application to Lattice-Free MMI. ICASSP 2022: 8417-8421 - [c190]Themos Stafylakis, Ladislav Mosner, Oldrich Plchot, Johan Rohdin, Anna Silnova, Lukás Burget, Jan Cernocký:
Training speaker embedding extractors using multi-speaker audio with unknown speaker boundaries. INTERSPEECH 2022: 605-609 - [c189]Niko Brummer, Albert Swart, Ladislav Mosner, Anna Silnova, Oldrich Plchot, Themos Stafylakis, Lukás Burget:
Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA for length-normalized embeddings. INTERSPEECH 2022: 1446-1450 - [c188]Murali Karthick Baskar, Tim Herzig, Diana Nguyen, Mireia Díez, Tim Polzehl, Lukás Burget, Jan Cernocký:
Speaker adaptation for Wav2vec2 based dysarthric ASR. INTERSPEECH 2022: 3403-3407 - [c187]Martin Kocour, Katerina Zmolíková, Lucas Ondel, Jan Svec, Marc Delcroix, Tsubasa Ochiai, Lukás Burget, Jan Cernocký:
Revisiting joint decoding based multi-talker speech recognition with DNN acoustic model. INTERSPEECH 2022: 4955-4959 - [c186]Federico Landini, Alicia Lozano-Diez, Mireia Díez, Lukás Burget:
From Simulated Mixtures to Simulated Conversations as Training Data for End-to-End Neural Diarization. INTERSPEECH 2022: 5095-5099 - [c185]Junyi Peng, Rongzhi Gu, Ladislav Mosner, Oldrich Plchot, Lukás Burget, Jan Cernocký:
Learnable Sparse Filterbank for Speaker Verification. INTERSPEECH 2022: 5110-5114 - [c184]Anna Silnova, Themos Stafylakis, Ladislav Mosner, Oldrich Plchot, Johan Rohdin, Pavel Matejka, Lukás Burget, Ondrej Glembek, Niko Brummer:
Analyzing Speaker Verification Embedding Extractors and Back-Ends Under Language and Channel Mismatch. Odyssey 2022: 9-16 - [c183]Jahangir Alam, Radek Benes, Marian Beszédes, Lukás Burget, Mohamed Dahmane, Abderrahim Fathan, Hamed Ghodrati, Ondrej Glembek, Woo Hyun Kang, Pavel Matejka, Ladislav Mosner, Oldrich Plchot, Johan Rohdin, Anna Silnova, Themos Stafylakis:
Development of ABC Systems for the 2021 Edition of NIST Speaker Recognition Evaluation. Odyssey 2022: 346-353 - [c182]Junyi Peng, Oldrich Plchot, Themos Stafylakis, Ladislav Mosner, Lukás Burget, Jan Cernocký:
An Attention-Based Backend Allowing Efficient Fine-Tuning of Transformer Models for Speaker Verification. SLT 2022: 555-562 - [c181]Themos Stafylakis, Ladislav Mosner, Sofoklis Kakouros, Oldrich Plchot, Lukás Burget, Jan Cernocký:
Extracting Speaker and Emotion Information from Self-Supervised Speech Models via Channel-Wise Correlations. SLT 2022: 1136-1143 - [i45]Niko Brümmer, Albert Swart, Ladislav Mosner, Anna Silnova, Oldrich Plchot, Themos Stafylakis, Lukás Burget:
Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA for length-normalized embeddings. CoRR abs/2203.14893 (2022) - [i44]Murali Karthick Baskar, Tim Herzig, Diana Nguyen, Mireia Díez, Tim Polzehl, Lukás Burget, Jan Honza Cernocký:
Speaker adaptation for Wav2vec2 based dysarthric ASR. CoRR abs/2204.00770 (2022) - [i43]Federico Landini, Alicia Lozano-Diez, Mireia Díez, Lukás Burget:
From Simulated Mixtures to Simulated Conversations as Training Data for End-to-End Neural Diarization. CoRR abs/2204.00890 (2022) - [i42]Themos Stafylakis, Ladislav Mosner, Sofoklis Kakouros, Oldrich Plchot, Lukás Burget, Jan Cernocký:
Extracting speaker and emotion information from self-supervised speech models via channel-wise correlations. CoRR abs/2210.09513 (2022) - [i41]Anna Silnova, Niko Brümmer, Albert Swart, Lukás Burget:
Toroidal Probabilistic Spherical Discriminant Analysis. CoRR abs/2210.15441 (2022) - [i40]Junyi Peng, Themos Stafylakis, Rongzhi Gu, Oldrich Plchot, Ladislav Mosner, Lukás Burget, Jan Cernocký:
Parameter-efficient transfer learning of pre-trained Transformer models for speaker verification using adapters. CoRR abs/2210.16032 (2022) - [i39]Sofoklis Kakouros, Themos Stafylakis, Ladislav Mosner, Lukás Burget:
Speech-based emotion recognition with self-supervised models using attentive channel-wise correlations and label smoothing. CoRR abs/2211.01756 (2022) - [i38]Federico Landini, Mireia Díez, Alicia Lozano-Diez, Lukás Burget:
Multi-Speaker and Wide-Band Simulated Conversations as Training Data for End-to-End Neural Diarization. CoRR abs/2211.06750 (2022) - 2021
- [c180]Bolaji Yusuf, Lucas Ondel, Lukás Burget, Jan Cernocký, Murat Saraçlar:
A Hierarchical Subspace Model for Language-Attuned Acoustic Unit Discovery. ICASSP 2021: 3710-3714 - [c179]Federico Landini, Ondrej Glembek, Pavel Matejka, Johan Rohdin, Lukás Burget, Mireia Díez, Anna Silnova:
Analysis of the but Diarization System for Voxconverse Challenge. ICASSP 2021: 5819-5823 - [c178]Murali Karthick Baskar, Lukás Burget, Shinji Watanabe, Ramón Fernandez Astudillo, Jan Honza Cernocký:
Eat: Enhanced ASR-TTS for Self-Supervised Speech Recognition. ICASSP 2021: 6753-6757 - [c177]Hari Krishna Vydana, Martin Karafiát, Katerina Zmolíková, Lukás Burget, Honza Cernocký:
Jointly Trained Transformers Models for Spoken Language Translation. ICASSP 2021: 7513-7517 - [c176]Themos Stafylakis, Johan Rohdin, Lukás Burget:
Speaker Embeddings by Modeling Channel-Wise Correlations. Interspeech 2021: 501-505 - [c175]Junyi Peng, Xiaoyang Qu, Jianzong Wang, Rongzhi Gu, Jing Xiao, Lukás Burget, Jan Cernocký:
ICSpk: Interpretable Complex Speaker Embedding Extractor from Raw Waveform. Interspeech 2021: 511-515 - [c174]Karel Benes, Lukás Burget:
Text Augmentation for Language Models in High Error Recognition Scenario. Interspeech 2021: 1872-1876 - [c173]Junyi Peng, Xiaoyang Qu, Rongzhi Gu, Jianzong Wang, Jing Xiao, Lukás Burget, Jan Cernocký:
Effective Phase Encoding for End-To-End Speaker Verification. Interspeech 2021: 2366-2370 - [c172]Ekaterina Egorova, Hari Krishna Vydana, Lukás Burget, Jan Cernocký:
Out-of-Vocabulary Words Detection with Attention and CTC Alignments in an End-to-End ASR System. Interspeech 2021: 2901-2905 - [c171]Hari Krishna Vydana, Martin Karafiát, Lukás Burget, Jan Cernocký:
The IWSLT 2021 BUT Speech Translation Systems. IWSLT 2021: 75-83 - [c170]Katerina Zmolíková, Marc Delcroix, Lukás Burget, Tomohiro Nakatani, Jan Honza Cernocký:
Integration of Variational Autoencoder and Spatial Clustering for Adaptive Multi-Channel Neural Speech Separation. SLT 2021: 889-896 - [e1]Hynek Hermansky, Honza Cernocký, Lukás Burget, Lori Lamel, Odette Scharenborg, Petr Motlícek:
22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30 - September 3, 2021. ISCA 2021 [contents] - [i37]Themos Stafylakis, Johan Rohdin, Lukás Burget:
Speaker embeddings by modeling channel-wise correlations. CoRR abs/2104.02571 (2021) - [i36]Murali Karthick Baskar, Lukás Burget, Shinji Watanabe, Ramón Fernandez Astudillo, Jan Honza Cernocký:
EAT: Enhanced ASR-TTS for Self-supervised Speech Recognition. CoRR abs/2104.07474 (2021) - [i35]Hari Krishna Vydana, Martin Karafiát, Lukás Burget, Honza Cernocký:
The IWSLT 2021 BUT Speech Translation Systems. CoRR abs/2107.06155 (2021) - [i34]Martin Kocour, Katerina Zmolíková, Lucas Ondel, Jan Svec, Marc Delcroix, Tsubasa Ochiai, Lukás Burget, Jan Cernocký:
Revisiting joint decoding based multi-talker speech recognition with DNN acoustic model. CoRR abs/2111.00009 (2021) - [i33]Ladislav Mosner, Oldrich Plchot, Lukás Burget, Jan Cernocký:
MultiSV: Dataset for Far-Field Multi-Channel Speaker Verification. CoRR abs/2111.06458 (2021) - [i32]Lucas Ondel, Léa-Marie Lam-Yee-Mui, Martin Kocour, Caio Filippo Corro, Lukás Burget:
GPU-Accelerated Forward-Backward algorithm with Application to Lattice-Free MMI. CoRR abs/2112.00709 (2021) - 2020
- [j15]Johan Rohdin, Anna Silnova, Mireia Díez, Oldrich Plchot, Pavel Matejka, Lukás Burget, Ondrej Glembek:
End-to-end DNN based text-independent speaker recognition for long and short utterances. Comput. Speech Lang. 59: 22-35 (2020) - [j14]Pavel Matejka, Oldrich Plchot, Ondrej Glembek, Lukás Burget, Johan Rohdin, Hossein Zeinali, Ladislav Mosner, Anna Silnova, Ondrej Novotný, Mireia Díez, Jan Honza Cernocký:
13 years of speaker recognition research at BUT, with longitudinal analysis of NIST SRE. Comput. Speech Lang. 63: 101035 (2020) - [j13]Mireia Díez, Lukás Burget, Federico Landini, Jan Cernocký:
Analysis of Speaker Diarization Based on Bayesian HMM With Eigenvoice Priors. IEEE ACM Trans. Audio Speech Lang. Process. 28: 355-368 (2020) - [j12]Santosh Kesiraju, Oldrich Plchot, Lukás Burget, Suryakanth V. Gangashetty:
Learning Document Embeddings Along With Their Uncertainties. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2319-2332 (2020) - [c169]Mireia Díez, Lukás Burget, Federico Landini, Shuai Wang, Honza Cernocký:
Optimizing Bayesian Hmm Based X-Vector Clustering for the Second Dihard Speech Diarization Challenge. ICASSP 2020: 6519-6523 - [c168]Federico Landini, Shuai Wang, Mireia Díez, Lukás Burget, Pavel Matejka, Katerina Zmolíková, Ladislav Mosner, Anna Silnova, Oldrich Plchot, Ondrej Novotný, Hossein Zeinali, Johan Rohdin:
But System for the Second Dihard Speech Diarization Challenge. ICASSP 2020: 6529-6533 - [c167]Shuai Wang, Johan Rohdin, Oldrich Plchot, Lukás Burget, Kai Yu, Jan Cernocký:
Investigation of Specaugment for Deep Speaker Embedding Learning. ICASSP 2020: 7139-7143 - [c166]Hossein Zeinali, Kong Aik Lee, Jahangir Alam, Lukás Burget:
SdSV Challenge 2020: Large-Scale Evaluation of Short-Duration Speaker Verification. INTERSPEECH 2020: 731-735 - [c165]Alicia Lozano-Diez, Anna Silnova, Bhargav Pulugundla, Johan Rohdin, Karel Veselý, Lukás Burget, Oldrich Plchot, Ondrej Glembek, Ondrej Novotný, Pavel Matejka:
BUT Text-Dependent Speaker Verification System for SdSV Challenge 2020. INTERSPEECH 2020: 761-765 - [c164]Anna Silnova, Niko Brummer, Johan Rohdin, Themos Stafylakis, Lukás Burget:
Probabilistic Embeddings for Speaker Diarization. Odyssey 2020: 24-31 - [c163]Jahangir Alam, Gilles Boulianne, Lukás Burget, Mohamed Dahmane, Mireia Díez Sánchez, Alicia Lozano-Diez, Ondrej Glembek, Pierre-Luc St-Charles, Marc Lalonde, Pavel Matejka, Petr Mizera, João Monteiro, Ladislav Mosner, Cedric Noiseux, Ondrej Novotný, Oldrich Plchot, Johan Rohdin, Anna Silnova, Josef Slavícek, Themos Stafylakis, Shuai Wang, Hossein Zeinali:
Analysis of ABC Submission to NIST SRE 2019 CMN and VAST Challenge. Odyssey 2020: 289-295 - [i31]Anna Silnova, Niko Brümmer, Johan Rohdin, Themos Stafylakis, Lukás Burget:
Probabilistic embeddings for speaker diarization. CoRR abs/2004.04096 (2020) - [i30]Hari Krishna Vydana, Martin Karafiát, Katerina Zmolíková, Lukás Burget, Honza Cernocký:
Jointly Trained Transformers models for Spoken Language Translation. CoRR abs/2004.12111 (2020) - [i29]Hari Krishna Vydana, Lukás Burget, Jan Cernocký:
A Technical Report: BUT Speech Translation Systems. CoRR abs/2010.11593 (2020) - [i28]Federico Landini, Ondrej Glembek, Pavel Matejka, Johan Rohdin, Lukás Burget, Mireia Díez, Anna Silnova:
Analysis of the BUT Diarization System for VoxConverse Challenge. CoRR abs/2010.11718 (2020) - [i27]Bolaji Yusuf, Lucas Ondel, Lukás Burget, Jan Cernocký, Murat Saraclar:
A Hierarchical Subspace Model for Language-Attuned Acoustic Unit Discovery. CoRR abs/2011.03115 (2020) - [i26]Karel Benes, Lukás Burget:
Text Augmentation for Language Models in High Error Recognition Scenario. CoRR abs/2011.06056 (2020) - [i25]Federico Landini, Ján Profant, Mireia Díez, Lukás Burget:
Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: theory, implementation and analysis on standard tasks. CoRR abs/2012.14952 (2020)
2010 – 2019
- 2019
- [j11]Ondrej Novotný, Oldrich Plchot, Ondrej Glembek, Jan Cernocký, Lukás Burget:
Analysis of DNN Speech Signal Enhancement for Robust Speaker Recognition. Comput. Speech Lang. 58: 403-421 (2019) - [j10]Katerina Zmolíková, Marc Delcroix, Keisuke Kinoshita, Tsubasa Ochiai, Tomohiro Nakatani, Lukás Burget, Jan Cernocký:
SpeakerBeam: Speaker Aware Neural Network for Target Speaker Extraction in Speech Mixtures. IEEE J. Sel. Top. Signal Process. 13(4): 800-814 (2019) - [c162]Hossein Zeinali, Lukás Burget, Jan Honza Cernocký:
A Multi Purpose and Large Scale Speech Corpus in Persian and English for Speaker and Speech Recognition: The Deepmine Database. ASRU 2019: 397-402 - [c161]Ladislav Mosner, Oldrich Plchot, Johan Rohdin, Lukás Burget, Jan Cernocký:
Speaker Verification with Application-Aware Beamforming. ASRU 2019: 411-418 - [c160]Murali Karthick Baskar, Lukás Burget, Shinji Watanabe, Martin Karafiát, Takaaki Hori, Jan Honza Cernocký:
Promising Accurate Prefix Boosting for Sequence-to-sequence ASR. ICASSP 2019: 5646-5650 - [c159]Johan Rohdin, Themos Stafylakis, Anna Silnova, Hossein Zeinali, Lukás Burget, Oldrich Plchot:
Speaker Verification Using End-to-end Adversarial Language Adaptation. ICASSP 2019: 6006-6010 - [c158]Ondrej Novotný, Oldrich Plchot, Ondrej Glembek, Lukás Burget, Pavel Matejka:
Discriminatively Re-trained I-vector Extractor for Speaker Recognition. ICASSP 2019: 6031-6035 - [c157]Hossein Zeinali, Lukás Burget, Johan Rohdin, Themos Stafylakis, Jan Honza Cernocký:
How to Improve Your Speaker Embeddings Extractor in Generic Toolkits. ICASSP 2019: 6141-6145 - [c156]Lucas Ondel, Hari Krishna Vydana, Lukás Burget, Jan Cernocký:
Bayesian Subspace Hidden Markov Model for Acoustic Unit Discovery. INTERSPEECH 2019: 261-265 - [c155]Mireia Díez, Lukás Burget, Shuai Wang, Johan Rohdin, Jan Cernocký:
Bayesian HMM Based x-Vector Clustering for Speaker Diarization. INTERSPEECH 2019: 346-350 - [c154]Hossein Zeinali, Themos Stafylakis, Georgia Athanasopoulou, Johan Rohdin, Ioannis Gkinis, Lukás Burget, Jan Cernocký:
Detecting Spoofing Attacks Using VGG and SincNet: BUT-Omilia Submission to ASVspoof 2019 Challenge. INTERSPEECH 2019: 1073-1077 - [c153]Shuai Wang, Johan Rohdin, Lukás Burget, Oldrich Plchot, Yanmin Qian, Kai Yu, Jan Cernocký:
On the Usage of Phonetic Information for Text-Independent Speaker Embedding Extraction. INTERSPEECH 2019: 1148-1152 - [c152]Pavel Matejka, Oldrich Plchot, Hossein Zeinali, Ladislav Mosner, Anna Silnova, Lukás Burget, Ondrej Novotný, Ondrej Glembek:
Analysis of BUT Submission in Far-Field Scenarios of VOiCES 2019 Challenge. INTERSPEECH 2019: 2448-2452 - [c151]Themos Stafylakis, Johan Rohdin, Oldrich Plchot, Petr Mizera, Lukás Burget:
Self-Supervised Speaker Embeddings. INTERSPEECH 2019: 2863-2867 - [c150]Murali Karthick Baskar, Shinji Watanabe, Ramón Fernandez Astudillo, Takaaki Hori, Lukás Burget, Jan Cernocký:
Semi-Supervised Sequence-to-Sequence ASR Using Unpaired Speech and Text. INTERSPEECH 2019: 3790-3794 - [c149]Pavel Matejka, Oldrich Plchot, Hossein Zeinali, Ladislav Mosner, Anna Silnova, Lukás Burget, Ondrej Novotný, Ondrej Glembek:
Analysis of BUT Submission in Far-Field Scenarios of VOiCES 2019 Challenge. INTERSPEECH 2019 - [c148]Ondrej Novotný, Oldrich Plchot, Ondrej Glembek, Lukás Burget:
Factorization of Discriminatively Trained i-Vector Extractor for Speaker Recognition. INTERSPEECH 2019: 4330-4334 - [c147]Martin Fajcik, Pavel Smrz, Lukás Burget:
BUT-FIT at SemEval-2019 Task 7: Determining the Rumour Stance with Pre-Trained Deep Bidirectional Transformers. SemEval@NAACL-HLT 2019: 1097-1104 - [i24]Martin Fajcik, Lukás Burget, Pavel Smrz:
BUT-FIT at SemEval-2019 Task 7: Determining the Rumour Stance with Pre-Trained Deep Bidirectional Transformers. CoRR abs/1902.10126 (2019) - [i23]Themos Stafylakis, Johan Rohdin, Oldrich Plchot, Petr Mizera, Lukás Burget:
Self-supervised speaker embeddings. CoRR abs/1904.03486 (2019) - [i22]Lucas Ondel, Hari Krishna Vydana, Lukás Burget, Jan Cernocký:
Bayesian Subspace Hidden Markov Model for Acoustic Unit Discovery. CoRR abs/1904.03876 (2019) - [i21]Ondrej Novotný, Oldrich Plchot, Ondrej Glembek, Lukás Burget:
Factorization of Discriminatively Trained i-vector Extractor for Speaker Recognition. CoRR abs/1904.04235 (2019) - [i20]Murali Karthick Baskar, Shinji Watanabe, Ramón Fernandez Astudillo, Takaaki Hori, Lukás Burget, Jan Cernocký:
Self-supervised Sequence-to-sequence ASR using Unpaired Speech and Text. CoRR abs/1905.01152 (2019) - [i19]Hossein Zeinali, Pavel Matejka, Ladislav Mosner, Oldrich Plchot, Anna Silnova, Ondrej Novotný, Ján Profant, Ondrej Glembek, Lukás Burget:
BUT VOiCES 2019 System Description. CoRR abs/1907.06112 (2019) - [i18]Hossein Zeinali, Lukás Burget, Jan Honza Cernocký:
Acoustic Scene Classification Using Fusion of Attentive Convolutional Neural Networks for DCASE2019 Challenge. CoRR abs/1907.07127 (2019) - [i17]Hossein Zeinali, Themos Stafylakis, Georgia Athanasopoulou, Johan Rohdin, Ioannis Gkinis, Lukás Burget, Jan Honza Cernocký:
Detecting Spoofing Attacks Using VGG and SincNet: BUT-Omilia Submission to ASVspoof 2019 Challenge. CoRR abs/1907.12908 (2019) - [i16]Santosh Kesiraju, Oldrich Plchot, Lukás Burget, Suryakanth V. Gangashetty:
Learning document embeddings along with their uncertainties. CoRR abs/1908.07599 (2019) - [i15]Hossein Zeinali, Lukás Burget, Jan Honza Cernocký:
A Multi Purpose and Large Scale Speech Corpus in Persian and English for Speaker and Speech Recognition: the DeepMine Database. CoRR abs/1912.03627 (2019) - [i14]Hossein Zeinali, Kong Aik Lee, Jahangir Alam, Lukás Burget:
Short-duration Speaker Verification (SdSV) Challenge 2020: the Challenge Evaluation Plan. CoRR abs/1912.06311 (2019) - 2018
- [c146]Hossein Zeinali, Lukás Burget, Jan Honza Cernocký:
Convolutional neural networks and x-vector embedding for DCASE2018 Acoustic Scene Classification challenge. DCASE 2018: 202-206 - [c145]Johan Rohdin, Anna Silnova, Mireia Díez, Oldrich Plchot, Pavel Matejka, Lukás Burget:
End-to-End DNN Based Speaker Recognition Inspired by I-Vector and PLDA. ICASSP 2018: 4874-4878 - [c144]Martin Karafiát, Murali Karthick Baskar, Karel Veselý, Frantisek Grézl, Lukás Burget, Jan Cernocký:
Analysis of Multilingual Blstm Acoustic Model on Low and High Resource Languages. ICASSP 2018: 5789-5793 - [c143]Ekaterina Egorova, Lukás Burget:
Out-of-Vocabulary Word Recovery using FST-Based Subword Unit Clustering in a Hybrid ASR System. ICASSP 2018: 5919-5923 - [c142]Lucas Ondel, Pierre Godard, Laurent Besacier, Elin Larsen, Mark Hasegawa-Johnson, Odette Scharenborg, Emmanuel Dupoux, Lukás Burget, François Yvon, Sanjeev Khudanpur:
Bayesian Models for Unit Discovery on a Very Low Resource Language. ICASSP 2018: 5939-5943 - [c141]Anna Silnova, Niko Brümmer, Daniel Garcia-Romero, David Snyder, Lukás Burget:
Fast Variational Bayes for Heavy-tailed PLDA Applied to i-vectors and x-vectors. INTERSPEECH 2018: 72-76 - [c140]Martin Karafiát, Murali Karthick Baskar, Igor Szöke, Vladimír Malenovský, Karel Veselý, Frantisek Grézl, Lukás Burget, Jan Cernocký:
BUT OpenSAT 2017 Speech Recognition System. INTERSPEECH 2018: 2638-2642 - [c139]Mireia Díez, Federico Landini, Lukás Burget, Johan Rohdin, Anna Silnova, Katerina Zmolíková, Ondrej Novotný, Karel Veselý, Ondrej Glembek, Oldrich Plchot, Ladislav Mosner, Pavel Matejka:
BUT System for DIHARD Speech Diarization Challenge 2018. INTERSPEECH 2018: 2798-2802 - [c138]Bhargav Pulugundla, Murali Karthick Baskar, Santosh Kesiraju, Ekaterina Egorova, Martin Karafiát, Lukás Burget, Jan Cernocký:
BUT System for Low Resource Indian Language ASR. INTERSPEECH 2018: 3182-3186 - [c137]Karel Benes, Santosh Kesiraju, Lukás Burget:
i-Vectors in Language Modeling: An Efficient Way of Domain Adaptation for Feed-Forward Models. INTERSPEECH 2018: 3383-3387 - [c136]Oldrich Plchot, Pavel Matejka, Ondrej Novotný, Sandro Cumani, Alicia Lozano-Diez, Josef Slavícek, Mireia Díez, Frantisek Grézl, Ondrej Glembek, Mounika Kamsali, Anna Silnova, Lukás Burget, Lucas Ondel, Santosh Kesiraju, Johan Rohdin:
Analysis of BUT-PT Submission for NIST LRE 2017. Odyssey 2018: 47-53 - [c135]Mireia Díez, Lukás Burget, Pavel Matejka:
Speaker Diarization based on Bayesian HMM with Eigenvoice Priors. Odyssey 2018: 147-154 - [c134]Anna Silnova, Pavel Matejka, Ondrej Glembek, Oldrich Plchot, Ondrej Novotný, Frantisek Grézl, Petr Schwarz, Lukás Burget, Jan Cernocký:
BUT/Phonexia Bottleneck Feature Extractor. Odyssey 2018: 283-287 - [c133]Niko Brummer, Anna Silnova, Lukás Burget, Themos Stafylakis:
Gaussian meta-embeddings for efficient scoring of a heavy-tailed PLDA model. Odyssey 2018: 349-356 - [c132]Hossein Zeinali, Lukás Burget, Hossein Sameti, Honza Cernocký:
Spoken Pass-Phrase Verification in the i-vector Space. Odyssey 2018: 372-377 - [i13]Lucas Ondel, Pierre Godard, Laurent Besacier, Elin Larsen, Mark Hasegawa-Johnson, Odette Scharenborg, Emmanuel Dupoux, Lukás Burget, François Yvon, Sanjeev Khudanpur:
Bayesian Models for Unit Discovery on a Very Low Resource Language. CoRR abs/1802.06053 (2018) - [i12]Niko Brummer, Anna Silnova, Lukás Burget, Themos Stafylakis:
Gaussian meta-embeddings for efficient scoring of a heavy-tailed PLDA model. CoRR abs/1802.09777 (2018) - [i11]Anna Silnova, Niko Brummer, Daniel Garcia-Romero, David Snyder, Lukás Burget:
Fast variational Bayes for heavy-tailed PLDA applied to i-vectors and x-vectors. CoRR abs/1803.09153 (2018) - [i10]Murali Karthick Baskar, Martin Karafiát, Lukás Burget, Karel Veselý, Frantisek Grézl, Jan Honza Cernocký:
Residual Memory Networks: Feed-forward approach to learn long temporal dependencies. CoRR abs/1808.01916 (2018) - [i9]Hossein Zeinali, Lukás Burget, Hossein Sameti, Jan Cernocký:
Spoken Pass-Phrase Verification in the i-vector Space. CoRR abs/1809.11068 (2018) - [i8]Hossein Zeinali, Lukás Burget, Jan Cernocký:
Convolutional Neural Networks and x-vector Embedding for DCASE2018 Acoustic Scene Classification Challenge. CoRR abs/1810.04273 (2018) - [i7]Ondrej Novotný, Oldrich Plchot, Ondrej Glembek, Lukás Burget, Pavel Matejka:
Discriminatively Re-trained i-vector Extractor for Speaker Recognition. CoRR abs/1810.13183 (2018) - [i6]Hossein Zeinali, Lukás Burget, Johan Rohdin, Themos Stafylakis, Jan Cernocký:
How to Improve Your Speaker Embeddings Extractor in Generic Toolkits. CoRR abs/1811.02066 (2018) - [i5]Johan Rohdin, Themos Stafylakis, Anna Silnova, Hossein Zeinali, Lukás Burget, Oldrich Plchot:
Speaker verification using end-to-end adversarial language adaptation. CoRR abs/1811.02331 (2018) - [i4]Murali Karthick Baskar, Lukás Burget, Shinji Watanabe, Martin Karafiát, Takaaki Hori, Jan Honza Cernocký:
Promising Accurate Prefix Boosting for sequence-to-sequence ASR. CoRR abs/1811.02770 (2018) - [i3]Ondrej Novotný, Oldrich Plchot, Ondrej Glembek, Jan Honza Cernocký, Lukás Burget:
Analysis of DNN Speech Signal Enhancement for Robust Speaker Recognition. CoRR abs/1811.07629 (2018) - 2017
- [j9]Hossein Zeinali, Hossein Sameti, Lukás Burget, Jan Cernocký:
Text-dependent speaker verification based on i-vectors, Neural Networks and Hidden Markov Models. Comput. Speech Lang. 46: 53-71 (2017) - [j8]Hossein Zeinali, Hossein Sameti, Lukás Burget:
HMM-Based Phrase-Independent i-Vector Extractor for Text-Dependent Speaker Verification. IEEE ACM Trans. Audio Speech Lang. Process. 25(7): 1421-1435 (2017) - [c131]Mirko Hannemann, Jan Trmal, Lucas Ondel, Santosh Kesiraju, Lukás Burget:
Bayesian joint-sequence models for grapheme-to-phoneme conversion. ICASSP 2017: 2836-2840 - [c130]Murali Karthick Baskar, Martin Karafiát, Lukás Burget, Karel Veselý, Frantisek Grézl, Jan Cernocký:
Residual memory networks: Feed-forward approach to learn long-term temporal dependencies. ICASSP 2017: 4810-4814 - [c129]Chunxi Liu, Jinyi Yang, Ming Sun, Santosh Kesiraju, Alena Rott, Lucas Ondel, Pegah Ghahremani, Najim Dehak, Lukás Burget, Sanjeev Khudanpur:
An empirical evaluation of zero resource acoustic unit discovery. ICASSP 2017: 5305-5309 - [c128]Santosh Kesiraju, Raghavendra Pappagari, Lucas Ondel, Lukás Burget, Najim Dehak, Sanjeev Khudanpur, Jan Cernocký, Suryakanth V. Gangashetty:
Topic identification of spoken documents using unsupervised acoustic unit discovery. ICASSP 2017: 5745-5749 - [c127]Lucas Ondel, Lukás Burget, Jan Cernocký, Santosh Kesiraju:
Bayesian phonotactic Language Model for Acoustic Unit Discovery. ICASSP 2017: 5750-5754 - [c126]Karel Benes, Murali Karthick Baskar, Lukás Burget:
Residual Memory Networks in Language Modeling: Improving the Reputation of Feed-Forward Networks. INTERSPEECH 2017: 284-288 - [c125]Martin Karafiát, Murali Karthick Baskar, Pavel Matejka, Karel Veselý, Frantisek Grézl, Lukás Burget, Jan Cernocký:
2016 BUT Babel System: Multilingual BLSTM Acoustic Model with i-Vector Based Adaptation. INTERSPEECH 2017: 719-723 - [c124]Pavel Matejka, Ondrej Novotný, Oldrich Plchot, Lukás Burget, Mireia Díez Sánchez, Jan Cernocký:
Analysis of Score Normalization in Multilingual Speaker Recognition. INTERSPEECH 2017: 1567-1571 - [c123]Anna Silnova, Lukás Burget, Jan Cernocký:
Alternative Approaches to Neural Network Based Speaker Verification. INTERSPEECH 2017: 1572-1575 - [c122]Pavlos Papadopoulos, Ruchir Travadi, Colin Vaz, Nikolaos Malandrakis, Ulf Hermjakob, Nima Pourdamghani, Michael Pust, Boliang Zhang, Xiaoman Pan, Di Lu, Ying Lin, Ondrej Glembek, Murali Karthick Baskar, Martin Karafiát, Lukás Burget, Mark Hasegawa-Johnson, Heng Ji, Jonathan May, Kevin Knight, Shrikanth S. Narayanan:
Team ELISA System for DARPA LORELEI Speech Evaluation 2016. INTERSPEECH 2017: 2053-2057 - [c121]Karel Veselý, Lukás Burget, Jan Cernocký:
Semi-Supervised DNN Training with Word Selection for ASR. INTERSPEECH 2017: 3687-3691 - [p2]Martin Karafiát, Karel Veselý, Katerina Zmolíková, Marc Delcroix, Shinji Watanabe, Lukás Burget, Jan Honza Cernocký, Igor Szöke:
Training Data Augmentation and Data Selection. New Era for Robust Speech Recognition, Exploiting Deep Learning 2017: 245-260 - [i2]Chunxi Liu, Jinyi Yang, Ming Sun, Santosh Kesiraju, Alena Rott, Lucas Ondel, Pegah Ghahremani, Najim Dehak, Lukás Burget, Sanjeev Khudanpur:
An Empirical Evaluation of Zero Resource Acoustic Unit Discovery. CoRR abs/1702.01360 (2017) - [i1]Johan Rohdin, Anna Silnova, Mireia Díez, Oldrich Plchot, Pavel Matejka, Lukás Burget:
End-to-end DNN Based Speaker Recognition Inspired by i-vector and PLDA. CoRR abs/1710.02369 (2017) - 2016
- [c120]Oldrich Plchot, Lukás Burget, Hagai Aronowitz, Pavel Matejka:
Audio enhancing with DNN autoencoder for speaker recognition. ICASSP 2016: 5090-5094 - [c119]Pavel Matejka, Ondrej Glembek, Ondrej Novotný, Oldrich Plchot, Frantisek Grézl, Lukás Burget, Jan Cernocký:
Analysis of DNN approaches to speaker identification. ICASSP 2016: 5100-5104 - [c118]Karel Veselý, Shinji Watanabe, Katerina Zmolíková, Martin Karafiát, Lukás Burget, Jan Honza Cernocký:
Sequence summarizing neural network for speaker adaptation. ICASSP 2016: 5315-5319 - [c117]Martin Karafiát, Lukás Burget, Frantisek Grézl, Karel Veselý, Jan Honza Cernocký:
Multilingual region-dependent transforms. ICASSP 2016: 5430-5434 - [c116]Hossein Zeinali, Hossein Sameti, Lukás Burget, Jan Cernocký, Nooshin Maghsoodi, Pavel Matejka:
i-Vector/HMM Based Text-Dependent Speaker Verification System for RedDots Challenge. INTERSPEECH 2016: 440-444 - [c115]Santosh Kesiraju, Lukás Burget, Igor Szöke, Jan Cernocký:
Learning Document Representations Using Subspace Multinomial Model. INTERSPEECH 2016: 700-704 - [c114]Ondrej Novotný, Pavel Matejka, Oldrich Plchot, Ondrej Glembek, Lukás Burget, Jan Cernocký:
Analysis of Speaker Recognition Systems in Realistic Scenarios of the SITW 2016 Challenge. INTERSPEECH 2016: 828-832 - [c113]Katerina Zmolíková, Martin Karafiát, Karel Veselý, Marc Delcroix, Shinji Watanabe, Lukás Burget, Jan Cernocký:
Data Selection by Sequence Summarizing Neural Network in Mismatch Condition Training. INTERSPEECH 2016: 2354-2358 - [c112]Ruizhi Li, Sri Harish Reddy Mallidi, Lukás Burget, Oldrich Plchot, Najim Dehak:
Exploiting Hidden-Layer Responses of Deep Neural Networks for Language Recognition. INTERSPEECH 2016: 3265-3269 - [c111]Jan Pesán, Lukás Burget, Jan Cernocký:
Sequence Summarizing Neural Networks for Spoken Language Recognition. INTERSPEECH 2016: 3285-3288 - [c110]Hossein Zeinali, Lukás Burget, Hossein Sameti, Ondrej Glembek, Oldrich Plchot:
Deep Neural Networks and Hidden Markov Models in i-vector-based Text-Dependent Speaker Verification. Odyssey 2016: 24-30 - [c109]Oldrich Plchot, Pavel Matejka, Ondrej Glembek, Radek Fér, Ondrej Novotný, Jan Pesán, Lukás Burget, Niko Brummer, Sandro Cumani:
BAT System Description for NIST LRE 2015. Odyssey 2016: 166-173 - [c108]Alicia Lozano-Diez, Anna Silnova, Pavel Matejka, Ondrej Glembek, Oldrich Plchot, Jan Pesán, Lukás Burget, Joaquin Gonzalez-Rodriguez:
Analysis and Optimization of Bottleneck Features for Speaker Recognition. Odyssey 2016: 352-357 - [c107]Ondrej Novotný, Pavel Matejka, Ondrej Glembek, Oldrich Plchot, Frantisek Grézl, Lukás Burget, Jan Honza Cernocký:
Analysis of the DNN-based SRE systems in multi-language conditions. SLT 2016: 199-204 - [c106]Lucas Ondel, Lukás Burget, Jan Cernocký:
Variational Inference for Acoustic Unit Discovery. SLTU 2016: 80-86 - 2015
- [c105]Roger Hsiao, Jeff Z. Ma, William Hartmann, Martin Karafiát, Frantisek Grézl, Lukás Burget, Igor Szöke, Jan Cernocký, Shinji Watanabe, Zhuo Chen, Sri Harish Reddy Mallidi, Hynek Hermansky, Stavros Tsakalidis, Richard M. Schwartz:
Robust speech recognition in unknown reverberant and noisy conditions. ASRU 2015: 533-538 - [c104]Petr Motlícek, Subhadeep Dey, Srikanth R. Madikeri, Lukás Burget:
Employment of Subspace Gaussian Mixture Models in speaker recognition. ICASSP 2015: 4445-4449 - [c103]Hynek Hermansky, Lukás Burget, Jordan Cohen, Emmanuel Dupoux, Naomi Feldman, John Godfrey, Sanjeev Khudanpur, Matthew Maciejewski, Sri Harish Reddy Mallidi, Anjali Menon, Tetsuji Ogawa, Vijayaditya Peddinti, Richard C. Rose, Richard M. Stern, Matthew Wiesner, Karel Veselý:
Towards machines that know when they do not know: Summary of work done at 2014 Frederick Jelinek Memorial Workshop. ICASSP 2015: 5009-5013 - [c102]Igor Szöke, Miroslav Skácel, Lukás Burget, Jan Cernocký:
Copingwith channel mismatch in Query-by-Example - But QUESST 2014. ICASSP 2015: 5838-5842 - [c101]Jan Pesán, Lukás Burget, Hynek Hermansky, Karel Veselý:
DNN derived filters for processing of modulation spectrum of speech. INTERSPEECH 2015: 1908-1911 - [c100]Ondrej Glembek, Pavel Matejka, Oldrich Plchot, Jan Pesán, Lukás Burget, Petr Schwarz:
Migrating i-vectors between speaker recognition systems using regression neural networks. INTERSPEECH 2015: 2327-2331 - [c99]Martin Karafiát, Frantisek Grézl, Lukás Burget, Igor Szöke, Jan Cernocký:
Three ways to adapt a CTS recognizer to unseen reverberated speech in BUT system for the ASpIRE challenge. INTERSPEECH 2015: 2454-2458 - 2014
- [j7]Mohamad Hasan Bahari, Najim Dehak, Hugo Van hamme, Lukás Burget, Ahmed Ali, Jim Glass:
Non-Negative Factor Analysis of Gaussian Mixture Model Weight Adaptation for Language and Dialect Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 22(7): 1117-1129 (2014) - [c98]Ondrej Glembek, Jeff Z. Ma, Pavel Matejka, Bing Zhang, Oldrich Plchot, Lukás Burget, Spyros Matsoukas:
Domain adaptation via within-class covariance correction in I-vector based speaker recognition systems. ICASSP 2014: 4032-4036 - [c97]David Martínez González, Lukás Burget, Themos Stafylakis, Yun Lei, Patrick Kenny, Eduardo Lleida:
Unscented transform for ivector-based noisy speaker recognition. ICASSP 2014: 4042-4046 - [c96]Igor Szöke, Lukás Burget, Frantisek Grézl, Jan Cernocký, Lucas Ondel:
Calibration and fusion of query-by-example systems - But SWS 2013. ICASSP 2014: 7849-7853 - [c95]Oldrich Plchot, Mireia Díez, Mehdi Soufifar, Lukás Burget:
PLLR features in language recognition system for RATS. INTERSPEECH 2014: 3047-3051 - [c94]Igor Szöke, Miroslav Skácel, Lukás Burget:
BUT QUESST 2014 system description. MediaEval 2014 - [c93]Najim Dehak, Oldrich Plchot, Mohamad Hasan Bahari, Lukás Burget, Hugo Van hamme, Réda Dehak:
GMM Weights Adaptation Based on Subspace Approaches for Speaker Verification. Odyssey 2014: 48-53 - [c92]Martin Karafiát, Karel Veselý, Igor Szöke, Lukás Burget, Frantisek Grézl, Mirko Hannemann, Jan Cernocký:
But ASR system for BABEL Surprise evaluation 2014. SLT 2014: 501-506 - 2013
- [j6]Sandro Cumani, Niko Brummer, Lukás Burget, Pietro Laface, Oldrich Plchot, Vasileios Vasilakakis:
Pairwise Discriminative Speaker Verification in the 𝕀-Vector Space. IEEE Trans. Speech Audio Process. 21(6): 1217-1227 (2013) - [c91]Karel Veselý, Mirko Hannemann, Lukás Burget:
Semi-supervised training of Deep Neural Networks. ASRU 2013: 267-272 - [c90]Yun Lei, Lukás Burget, Nicolas Scheffer:
A noise robust i-vector extractor using vector taylor series for speaker recognition. ICASSP 2013: 6788-6791 - [c89]Murat Akbacak, Lukás Burget, Wen Wang, Julien van Hout:
Rich system combination for keyword spotting in noisy and acoustically heterogeneous audio streams. ICASSP 2013: 8267-8271 - [c88]Mehdi Soufifar, Lukás Burget, Oldrich Plchot, Sandro Cumani, Jan Cernocký:
Regularized subspace n-gram model for phonotactic ivector extraction. INTERSPEECH 2013: 74-78 - [c87]Shakti P. Rath, Lukás Burget, Martin Karafiát, Ondrej Glembek, Jan Cernocký:
A region-specific feature-space transformation for speaker adaptation and singularity analysis of jacobian matrix. INTERSPEECH 2013: 1228-1232 - [c86]Karel Veselý, Arnab Ghoshal, Lukás Burget, Daniel Povey:
Sequence-discriminative training of deep neural networks. INTERSPEECH 2013: 2345-2349 - [c85]Igor Szöke, Lukás Burget, Frantisek Grézl, Lucas Ondel:
BUT SWS 2013 - Massive Parallel Approach. MediaEval 2013 - 2012
- [j5]Thomas Hain, Lukás Burget, John Dines, Philip N. Garner, Frantisek Grézl, Asmaa El Hannani, Marijn Huijbregts, Martin Karafiát, Mike Lincoln, Vincent Wan:
Transcribing Meetings With the AMIDA Systems. IEEE Trans. Speech Audio Process. 20(2): 486-498 (2012) - [c84]Daniel Povey, Mirko Hannemann, Gilles Boulianne, Lukás Burget, Arnab Ghoshal, Milos Janda, Martin Karafiát, Stefan Kombrink, Petr Motlícek, Yanmin Qian, Korbinian Riedhammer, Karel Veselý, Ngoc Thang Vu:
Generating exact lattices in the WFST framework. ICASSP 2012: 4213-4216 - [c83]Yun Lei, Lukás Burget, Luciana Ferrer, Martin Graciarena, Nicolas Scheffer:
Towards noise-robust speaker recognition using probabilistic linear discriminant analysis. ICASSP 2012: 4253-4256 - [c82]Stefan Kombrink, Tomás Mikolov, Martin Karafiát, Lukás Burget:
Improving language models for ASR using translated in-domain data. ICASSP 2012: 4405-4408 - [c81]Mehdi Soufifar, Sandro Cumani, Lukás Burget, Honza Cernocký:
Discriminative classifiers for phonotactic language recognition with iVectors. ICASSP 2012: 4853-4856 - [c80]David Martínez González, Lukás Burget, Luciana Ferrer, Nicolas Scheffer:
iVector-based prosodic system for language identification. ICASSP 2012: 4861-4864 - [c79]Martin Karafiát, Milos Janda, Jan Cernocký, Lukás Burget:
Region dependent linear transforms in multilingual speech recognition. ICASSP 2012: 4885-4888 - [c78]Yun Lei, Lukás Burget, Nicolas Scheffer:
Bilinear Factor Analysis for iVector Based Speaker Verification. INTERSPEECH 2012: 1588-1591 - [c77]Panagiota Karanasou, Lukás Burget, Dimitra Vergyri, Murat Akbacak, Arindam Mandal:
Discriminatively trained phoneme confusion model for keyword spotting. INTERSPEECH 2012: 2434-2437 - [c76]Luciana Ferrer, Lukás Burget, Oldrich Plchot, Nicolas Scheffer:
A unified approach for audio characterization and its application to speaker recognition. Odyssey 2012: 317-323 - [p1]Stefan Kombrink, Mirko Hannemann, Lukás Burget:
Out-of-Vocabulary Word Detection and Beyond. Detection and Identification of Rare Audiovisual Cues 2012: 57-65 - 2011
- [j4]Daniel Povey, Lukás Burget, Mohit Agarwal, Pinar Akyazi, Kai Feng, Arnab Ghoshal, Ondrej Glembek, Nagendra K. Goel, Martin Karafiát, Ariya Rastrow, Richard C. Rose, Petr Schwarz, Samuel Thomas:
The subspace Gaussian mixture model - A structured model for speech recognition. Comput. Speech Lang. 25(2): 404-439 (2011) - [j3]Marcel Kockmann, Lukás Burget, Jan Cernocký:
Application of speaker- and language identification state-of-the-art techniques for emotion recognition. Speech Commun. 53(9-10): 1172-1185 (2011) - [c75]Martin Karafiát, Lukás Burget, Pavel Matejka, Ondrej Glembek, Jan Cernocký:
iVector-based discriminative adaptation for automatic speech recognition. ASRU 2011: 152-157 - [c74]Tomás Mikolov, Anoop Deoras, Daniel Povey, Lukás Burget, Jan Cernocký:
Strategies for training large scale neural network language models. ASRU 2011: 196-201 - [c73]Ondrej Glembek, Lukás Burget, Pavel Matejka, Martin Karafiát, Patrick Kenny:
Simplification and optimization of i-vector extraction. ICASSP 2011: 4516-4519 - [c72]Marcel Kockmann, Luciana Ferrer, Lukás Burget, Elizabeth Shriberg, Jan Cernocký:
Recent progress in prosodic speaker verification. ICASSP 2011: 4556-4559 - [c71]Pavel Matejka, Ondrej Glembek, Fabio Castaldo, Md. Jahangir Alam, Oldrich Plchot, Patrick Kenny, Lukás Burget, Jan Cernocký:
Full-covariance UBM and heavy-tailed PLDA in i-vector speaker verification. ICASSP 2011: 4828-4831 - [c70]Lukás Burget, Oldrich Plchot, Sandro Cumani, Ondrej Glembek, Pavel Matejka, Niko Brümmer:
Discriminatively trained Probabilistic Linear Discriminant Analysis for speaker verification. ICASSP 2011: 4832-4835 - [c69]Sandro Cumani, Niko Brümmer, Lukás Burget, Pietro Laface:
Fast discriminative speaker verification in the i-vector space. ICASSP 2011: 4852-4855 - [c68]Tomás Mikolov, Stefan Kombrink, Lukás Burget, Jan Cernocký, Sanjeev Khudanpur:
Extensions of recurrent neural network language model. ICASSP 2011: 5528-5531 - [c67]Ondrej Glembek, Lukás Burget, Niko Brümmer, Oldrich Plchot, Pavel Matejka:
Discriminatively Trained i-vector Extractor for Speaker Verification. INTERSPEECH 2011: 137-140 - [c66]Marcel Kockmann, Luciana Ferrer, Lukás Burget, Jan Cernocký:
iVector Fusion of Prosodic and Cepstral Features for Speaker Verification. INTERSPEECH 2011: 265-268 - [c65]Tomás Mikolov, Anoop Deoras, Stefan Kombrink, Lukás Burget, Jan Cernocký:
Empirical Evaluation and Combination of Advanced Language Modeling Techniques. INTERSPEECH 2011: 605-608 - [c64]David Martínez González, Oldrich Plchot, Lukás Burget, Ondrej Glembek, Pavel Matejka:
Language Recognition in iVectors Space. INTERSPEECH 2011: 861-864 - [c63]Stefan Kombrink, Tomás Mikolov, Martin Karafiát, Lukás Burget:
Recurrent Neural Network Based Language Modeling in Meeting Recognition. INTERSPEECH 2011: 2877-2880 - [c62]Mehdi Soufifar, Marcel Kockmann, Lukás Burget, Oldrich Plchot, Ondrej Glembek, Torbjørn Svendsen:
iVector Approach to Phonotactic Language Recognition. INTERSPEECH 2011: 2913-2916 - 2010
- [c61]Arnab Ghoshal, Daniel Povey, Mohit Agarwal, Pinar Akyazi, Lukás Burget, Kai Feng, Ondrej Glembek, Nagendra Goel, Martin Karafiát, Ariya Rastrow, Richard C. Rose, Petr Schwarz, Samuel Thomas:
A novel estimation of feature-space MLLR for full-covariance models. ICASSP 2010: 4310-4313 - [c60]Daniel Povey, Lukás Burget, Mohit Agarwal, Pinar Akyazi, Kai Feng, Arnab Ghoshal, Ondrej Glembek, Nagendra K. Goel, Martin Karafiát, Ariya Rastrow, Richard C. Rose, Petr Schwarz, Samuel Thomas:
Subspace Gaussian Mixture Models for speech recognition. ICASSP 2010: 4330-4333 - [c59]Lukás Burget, Petr Schwarz, Mohit Agarwal, Pinar Akyazi, Kai Feng, Arnab Ghoshal, Ondrej Glembek, Nagendra K. Goel, Martin Karafiát, Daniel Povey, Ariya Rastrow, Richard C. Rose, Samuel Thomas:
Multilingual acoustic modeling for speech recognition based on subspace Gaussian Mixture Models. ICASSP 2010: 4334-4337 - [c58]Marcel Kockmann, Lukás Burget, Jan Cernocký:
Investigations into prosodic syllable contour features for speaker recognition. ICASSP 2010: 4418-4421 - [c57]C. Santhosh Kumar, Haizhou Li, Rong Tong, Pavel Matejka, Lukás Burget, Jan Cernocký:
Tuning phone decoders for language identification. ICASSP 2010: 5010-5013 - [c56]Nagendra Goel, Samuel Thomas, Mohit Agarwal, Pinar Akyazi, Lukás Burget, Kai Feng, Arnab Ghoshal, Ondrej Glembek, Martin Karafiát, Daniel Povey, Ariya Rastrow, Richard C. Rose, Petr Schwarz:
Approaches to automatic lexicon learning with limited training examples. ICASSP 2010: 5094-5097 - [c55]Thomas Hain, Lukás Burget, John Dines, Philip N. Garner, Asmaa El Hannani, Marijn Huijbregts, Martin Karafiát, Mike Lincoln, Vincent Wan:
The AMIDA 2009 meeting transcription system. INTERSPEECH 2010: 358-361 - [c54]Mirko Hannemann, Stefan Kombrink, Martin Karafiát, Lukás Burget:
Similarity scoring for recognizing repeated out-of-vocabulary words. INTERSPEECH 2010: 897-900 - [c53]Tomás Mikolov, Martin Karafiát, Lukás Burget, Jan Cernocký, Sanjeev Khudanpur:
Recurrent neural network based language model. INTERSPEECH 2010: 1045-1048 - [c52]Marcel Kockmann, Lukás Burget, Ondrej Glembek, Luciana Ferrer, Jan Cernocký:
Prosodic speaker verification using subspace multinomial models with intersession compensation. INTERSPEECH 2010: 1061-1064 - [c51]Marcel Kockmann, Lukás Burget, Jan Cernocký:
Brno university of technology system for interspeech 2010 paralinguistic challenge. INTERSPEECH 2010: 2822-2825 - [c50]Karel Veselý, Lukás Burget, Frantisek Grézl:
Parallel training of neural networks for speech recognition. INTERSPEECH 2010: 2934-2937 - [c49]Zdenek Jancik, Oldrich Plchot, Niko Brümmer, Lukás Burget, Ondrej Glembek, Valiantsina Hubeika, Martin Karafiát, Pavel Matejka, Tomás Mikolov, Albert Strasheim, Jan Cernocký:
Data selection and calibration issues in automatic language recognition - investigation with BUT-AGNITIO NIST LRE 2009 system. Odyssey 2010: 37 - [c48]Tomás Mikolov, Oldrich Plchot, Ondrej Glembek, Lukás Burget, Jan Cernocký:
PCA-based Feature Extraction for Phonotactic Language Recognition. Odyssey 2010: 42 - [c47]Stefan Kombrink, Mirko Hannemann, Lukás Burget, Hynek Hermansky:
Recovery of Rare Words in Lecture Speech. TSD 2010: 330-337 - [c46]Karel Veselý, Lukás Burget, Frantisek Grézl:
Parallel Training of Neural Networks for Speech Recognition. TSD 2010: 439-446
2000 – 2009
- 2009
- [c45]Ondrej Glembek, Lukás Burget, Najim Dehak, Niko Brümmer, Patrick Kenny:
Comparison of scoring methods used in speaker recognition with Joint Factor Analysis. ICASSP 2009: 4057-4060 - [c44]Najim Dehak, Patrick Kenny, Réda Dehak, Ondrej Glembek, Pierre Dumouchel, Lukás Burget, Valiantsina Hubeika, Fabio Castaldo:
Support vector machines and Joint Factor Analysis for speaker verification. ICASSP 2009: 4237-4240 - [c43]Tomás Mikolov, Jirí Kopecký, Lukás Burget, Ondrej Glembek, Jan Cernocký:
Neural network based language models for highly inflective languages. ICASSP 2009: 4725-4728 - [c42]Stefan Kombrink, Lukás Burget, Pavel Matejka, Martin Karafiát, Hynek Hermansky:
Posterior-based out of vocabulary word detection in telephone speech. INTERSPEECH 2009: 80-83 - [c41]Marcel Kockmann, Lukás Burget, Jan Cernocký:
Brno University of Technology system for Interspeech 2009 emotion challenge. INTERSPEECH 2009: 348-351 - [c40]Lukás Burget, Pavel Matejka, Valiantsina Hubeika, Jan Cernocký:
Investigation into variants of joint factor analysis for speaker recognition. INTERSPEECH 2009: 1263-1266 - [c39]Niko Brümmer, Albert Strasheim, Valiantsina Hubeika, Pavel Matejka, Lukás Burget, Ondrej Glembek:
Discriminative acoustic language recognition via channel-compensated GMM statistics. INTERSPEECH 2009: 2187-2190 - [c38]Lukás Burget, Michal Fapso, Valiantsina Hubeika, Ondrej Glembek, Martin Karafiát, Marcel Kockmann, Pavel Matejka, Petr Schwarz, Jan Cernocký:
BUT system for NIST 2008 speaker recognition evaluation. INTERSPEECH 2009: 2335-2338 - [c37]Frantisek Grézl, Martin Karafiát, Lukás Burget:
Investigation into bottle-neck features for meeting speech recognition. INTERSPEECH 2009: 2947-2950 - 2008
- [c36]Lukás Burget, Petr Schwarz, Pavel Matejka, Mirko Hannemann, Ariya Rastrow, Christopher M. White, Sanjeev Khudanpur, Hynek Hermansky, Jan Cernocký:
Combination of strongly and weakly constrained recognizers for reliable detection of OOVS. ICASSP 2008: 4081-4084 - [c35]Christopher M. White, Geoffrey Zweig, Lukás Burget, Petr Schwarz, Hynek Hermansky:
Confidence estimation, OOV detection and language ID using phone-to-word transduction and phone-level alignments. ICASSP 2008: 4085-4088 - [c34]Valiantsina Hubeika, Lukás Burget, Pavel Matejka, Petr Schwarz:
Discriminative training and channel compensation for acoustic language recognition. INTERSPEECH 2008: 301-304 - [c33]Pavel Matejka, Lukás Burget, Ondrej Glembek, Petr Schwarz, Valiantsina Hubeika, Michal Fapso, Tomás Mikolov, Oldrich Plchot, Jan Cernocký:
BUT language recognition system for NIST 2007 evaluations. INTERSPEECH 2008: 739-742 - [c32]Ondrej Glembek, Pavel Matejka, Lukás Burget, Tomás Mikolov:
Advances in phonotactic language recognition. INTERSPEECH 2008: 743-746 - [c31]Martin Karafiát, Lukás Burget, Thomas Hain, Jan Cernocký:
Discrimininative training of narrow band - wide band adapted systems for meeting recognition. INTERSPEECH 2008: 1217-1220 - [c30]Marcel Kockmann, Lukás Burget:
Contour modeling of prosodic and acoustic features for speaker recognition. SLT 2008: 45-48 - [c29]Ilya Oparin, Ondrej Glembek, Lukás Burget, Jan Cernocký:
Morphological random forests for language modeling of inflectional languages. SLT 2008: 189-192 - [c28]Igor Szöke, Lukás Burget, Jan Cernocký, Michal Fapso:
Sub-word modeling of out of vocabulary words in spoken term detection. SLT 2008: 273-276 - [c27]Oldrich Plchot, Valiantsina Hubeika, Lukás Burget, Petr Schwarz, Pavel Matejka:
Acquisition of Telephone Data from Radio Broadcasts with Applications to Language Recognition. TSD 2008: 477-483 - 2007
- [j2]Lukás Burget, Pavel Matejka, Petr Schwarz, Ondrej Glembek, Jan Cernocký:
Analysis of Feature Extraction and Channel Compensation in a GMM Speaker Recognition System. IEEE Trans. Speech Audio Process. 15(7): 1979-1986 (2007) - [j1]Niko Brümmer, Lukás Burget, Jan Cernocký, Ondrej Glembek, Frantisek Grézl, Martin Karafiát, David A. van Leeuwen, Pavel Matejka, Petr Schwarz, Albert Strasheim:
Fusion of Heterogeneous Speaker Recognition Systems in the STBU Submission for the NIST Speaker Recognition Evaluation 2006. IEEE Trans. Speech Audio Process. 15(7): 2072-2084 (2007) - [c26]Thomas Hain, Lukás Burget, John Dines, Giulia Garau, Martin Karafiát, David A. van Leeuwen, Mike Lincoln, Vincent Wan:
The 2007 AMI(DA) System for Meeting Transcription. CLEAR 2007: 414-428 - [c25]Pavel Matejka, Lukás Burget, Petr Schwarz, Ondrej Glembek, Martin Karafiát, Frantisek Grézl, Jan Cernocký, David A. van Leeuwen, Niko Brummer, Albert Strasheim:
STBU System for the NIST 2006 Speaker Recognition Evaluation. ICASSP (4) 2007: 221-224 - [c24]Thomas Hain, Vincent Wan, Lukás Burget, Martin Karafiát, John Dines, Jithendra Vepa, Giulia Garau, Mike Lincoln:
The AMI System for the Transcription of Speech in Meetings. ICASSP (4) 2007: 357-360 - [c23]Martin Karafiát, Lukás Burget, Jan Cernocký, Thomas Hain:
Application of CMLLR in narrow band wide band adapted systems. INTERSPEECH 2007: 282-285 - [c22]Igor Szöke, Michal Fapso, Martin Karafiát, Lukás Burget, Frantisek Grézl, Petr Schwarz, Ondrej Glembek, Pavel Matejka, Jirí Kopecký, Jan Cernocký:
Spoken Term Detection System Based on Combination of LVCSR and Phonetic Search. MLMI 2007: 237-247 - [c21]Valiantsina Hubeika, Igor Szöke, Lukás Burget, Jan Cernocký:
Maximum Likelihood and Maximum Mutual Information Training in Gender and Age Recognition System. TSD 2007: 496-501 - 2006
- [c20]Michal Fapso, Pavel Smrz, Petr Schwarz, Igor Szöke, Milan Schwarz, Jan Cernocký, Martin Karafiát, Lukás Burget:
Information Retrieval from Spoken Documents. CICLing 2006: 410-416 - [c19]Pavel Matejka, Petr Schwarz, Lukás Burget, Jan Cernocký:
Use of Anti-Models to Further Improve State-of-the-Art PRLM Language Recognition System. ICASSP (1) 2006: 197-200 - [c18]Lukás Burget, Pavel Matejka, Jan Cernocký:
Discriminative Training Techniques for Acoustic Language Identification. ICASSP (1) 2006: 209-212 - [c17]Martin Karafiát, Frantisek Grézl, Petr Schwarz, Lukás Burget, Jan Cernocký:
Robust Heteroscedastic Linear Discriminant Analysis and LCRC Posterior Features in Meeting Data Recognition. MLMI 2006: 275-284 - [c16]Thomas Hain, Lukás Burget, John Dines, Giulia Garau, Martin Karafiát, Mike Lincoln, Jithendra Vepa, Vincent Wan:
The AMI Meeting Transcription System: Progress and Performance. MLMI 2006: 419-431 - [c15]Pavel Matejka, Lukás Burget, Petr Schwarz, Jan Cernocký:
Brno University of Technology System for NIST 2005 Language Recognition Evaluation. Odyssey 2006: 1-7 - [c14]Lukás Burget, Jan Cernocký, Michal Fapso, Martin Karafiát, Pavel Matejka, Petr Schwarz, Pavel Smrz, Igor Szöke:
Indexing and Search Methods for Spoken Documents. TSD 2006: 351-358 - 2005
- [c13]Igor Szöke, Petr Schwarz, Pavel Matejka, Lukás Burget, Martin Karafiát, Michal Fapso, Jan Cernocký:
Comparison of keyword spotting approaches for informal continuous speech. INTERSPEECH 2005: 633-636 - [c12]Petr Motlícek, Lukás Burget, Jan Cernocký:
Non-parametric speaker turn segmentation of meeting data. INTERSPEECH 2005: 657-660 - [c11]Thomas Hain, Lukás Burget, John Dines, Iain McCowan, Giulia Garau, Martin Karafiát, Mike Lincoln, Darren Moore, Vincent Wan, Roeland Ordelman, Steve Renals:
The Development of the AMI System for the Transcription of Speech in Meetings. MLMI 2005: 344-356 - [c10]Thomas Hain, Lukás Burget, John Dines, Giulia Garau, Martin Karafiát, Mike Lincoln, Iain McCowan, Darren Moore, Vincent Wan, Roeland Ordelman, Steve Renals:
The 2005 AMI System for the Transcription of Speech in Meetings. MLMI 2005: 450-462 - [c9]Igor Szöke, Petr Schwarz, Pavel Matejka, Lukás Burget, Martin Karafiát, Jan Cernocký:
Phoneme Based Acoustics Keyword Spotting in Informal Continuous Speech. TSD 2005: 302-309 - 2004
- [c8]Lukás Burget:
Combination of speech features using smoothed heteroscedastic linear discriminant analysis. INTERSPEECH 2004: 2549-2552 - [c7]Lukás Burget:
Measurement of Complementarity of Recognition Systems. TSD 2004: 283-290 - 2003
- [c6]Lukás Burget, Jan Cernocký:
Recognition of Speech with Non-random Attributes. TSD 2003: 257-262 - 2002
- [c5]André Gustavo Adami, Lukás Burget, Stéphane Dupont, Harinath Garudadri, Frantisek Grézl, Hynek Hermansky, Pratibha Jain, Sachin S. Kajarekar, Nelson Morgan, Sunil Sivadas:
Qualcomm-ICSI-OGI features for ASR. INTERSPEECH 2002: 21-24 - [c4]Petr Motlícek, Lukás Burget:
Noise estimation for efficient speech enhancement and robust speech recognition. INTERSPEECH 2002: 1033-1036 - [c3]Petr Motlícek, Lukás Burget:
Efficient Noise Estimation and Its Application for Robust Speech Recognition. TSD 2002: 229-236 - 2001
- [c2]M. Carmen Benítez, Lukás Burget, Barry Y. Chen, Stéphane Dupont, Harinath Garudadri, Hynek Hermansky, Pratibha Jain, Sachin S. Kajarekar, Nelson Morgan, Sunil Sivadas:
Robust ASR front-end using spectral-based and discriminant features: experiments on the Aurora tasks. INTERSPEECH 2001: 429-432 - [c1]Lukás Burget, Hynek Hermansky:
Data Driven Design of Filter Bank for Speech Recognition. TSD 2001: 299-304
Coauthor Index
Niko Brümmer
aka: Niko Brummer
aka: Niko Brummer
[c207] [i57] [i53] [i52] [j19] [c201] [c198] [c196] [i48] [j17] [c195] [c194] [c193] [c192] [c190] [c188] [c187] [c185] [c182] [c181] [i44] [i42] [i40] [c180] [c178] [c177] [c175] [c173] [c172] [c171] [c170] [e1] [i36] [i35] [i34] [i33] [j14] [j13] [c169] [c167] [i30] [i29] [i27] [j11] [j10] [c162] [c161] [c160] [c157] [c156] [c155] [c154] [c153] [c150] [i22] [i20] [i18] [i17] [i15] [c146] [c144] [c140] [c138] [c134] [c132] [i10] [i9] [i8] [i6] [i4] [i3] [j9] [c130] [c128] [c127] [c125] [c124] [c123] [c121] [p2] [c119] [c118] [c117] [c116] [c115] [c114] [c113] [c111] [c107] [c106] [c105] [c102] [c99] [c96] [c92] [c88] [c87] [c81] [c79] [j3] [c75] [c74] [c72] [c71] [c68] [c66] [c65] [c58] [c57] [c53] [c52] [c51] [c49] [c48] [c43] [c41] [c40] [c38] [c36] [c33] [c31] [c29] [c28] [j2] [j1] [c25] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c15] [c14] [c13] [c12] [c9] [c6]
Mireia Díez
aka: Mireia Díez Sánchez
aka: Mireia Díez Sánchez
[c184] [c183] [c179] [j15] [j14] [c165] [c163] [i28] [j11] [c158] [c152] [c149] [c148] [i21] [i19] [c139] [c136] [c134] [i7] [i3] [c122] [c119] [c114] [c110] [c109] [c108] [c107] [c100] [c98] [c87] [j4] [c75] [c73] [c71] [c70] [c67] [c64] [c62] [c61] [c60] [c59] [c56] [c52] [c49] [c48] [c45] [c44] [c43] [c39] [c38] [c33] [c32] [c29] [j2] [j1] [c25] [c22]
[c195] [c177] [c171] [i35] [i30] [c160] [c144] [c140] [c138] [i10] [i4] [c130] [c125] [c122] [p2] [c118] [c117] [c113] [c105] [c99] [c92] [c87] [j5] [c84] [c82] [c79] [j4] [c75] [c73] [c63] [c61] [c60] [c59] [c56] [c55] [c54] [c53] [c49] [c42] [c38] [c37] [c31] [j1] [c26] [c25] [c24] [c23] [c22] [c20] [c17] [c16] [c14] [c13] [c11] [c10] [c9]
[c199] [c184] [c183] [c179] [j15] [j14] [c168] [c165] [c163] [i28] [c158] [c152] [c149] [i19] [c145] [c139] [c136] [c135] [c134] [i7] [c125] [c124] [i1] [c120] [c119] [c116] [c114] [c109] [c108] [c107] [c100] [c98] [c75] [c73] [c71] [c70] [c67] [c64] [c57] [c49] [c42] [c40] [c39] [c38] [c36] [c34] [c33] [c32] [c27] [j2] [j1] [c25] [c22] [c19] [c18] [c15] [c14] [c13] [c9]
[i55] [i52] [c201] [c199] [c198] [c196] [c193] [c192] [c190] [c189] [c185] [c184] [c183] [c182] [c181] [i45] [i42] [i40] [i33] [j15] [j14] [j12] [c168] [c167] [c165] [c163] [j11] [c161] [c159] [c158] [c153] [c152] [c151] [c149] [c148] [i23] [i21] [i19] [i16] [c145] [c139] [c136] [c134] [i7] [i5] [i3] [c124] [i1] [c120] [c119] [c114] [c112] [c110] [c109] [c108] [c107] [c100] [c98] [c95] [c93] [j6] [c88] [c76] [c71] [c70] [c67] [c64] [c62] [c49] [c48] [c33] [c27]
Lucas Ondel Yang
aka: Lucas Ondel
aka: Lucas Ondel
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