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2020 – today
- 2024
[c60]Jozef Coldenhoff, Andrew Harper, Paul Kendrick, Tijana Stojkovic, Milos Cernak:
Multi-Channel Mosra: Mean Opinion Score and Room Acoustics Estimation Using Simulated Data and A Teacher Model. ICASSP 2024: 381-385- [c59]Lingjun Meng, Jozef Coldenhoff, Paul Kendrick, Tijana Stojkovic, Andrew Harper, Kiril Ratmanski, Milos Cernak:
On Real-Time Multi-Stage Speech Enhancement Systems. ICASSP 2024: 10241-10245 - [i29]Siyi Wang, Siyi Liu, Andrew Harper, Paul Kendrick, Mathieu Salzmann, Milos Cernak:
Diffusion-based Speech Enhancement with Schrödinger Bridge and Symmetric Noise Schedule. CoRR abs/2409.05116 (2024) - [i28]Jozef Coldenhoff, Niclas Granqvist, Milos Cernak:
OpenACE: An Open Benchmark for Evaluating Audio Coding Performance. CoRR abs/2409.08374 (2024) - [i27]Jozef Coldenhoff, Milos Cernak:
Semi-intrusive audio evaluation: Casting non-intrusive assessment as a multi-modal text prediction task. CoRR abs/2409.14069 (2024) - 2023
- [c58]Karl El Hajal, Zihan Wu, Neil Scheidwasser-Clow, Gasser Elbanna, Milos Cernak:
Efficient Speech Quality Assessment Using Self-Supervised Framewise Embeddings. ICASSP 2023: 1-5 - [c57]Robert P. Spang, Karl El Hajal, Sebastian Möller, Milos Cernak:
Personalized Task Load Prediction in Speech Communication. ICASSP 2023: 1-5 - [c56]Zihan Wu, Neil Scheidwasser-Clow, Karl El Hajal, Milos Cernak:
Speaker Embeddings as Individuality Proxy for Voice Stress Detection. INTERSPEECH 2023: 1838-1842 - [c55]Bohan Wang, Damien Ronssin, Milos Cernak:
ALO-VC: Any-to-any Low-latency One-shot Voice Conversion. INTERSPEECH 2023: 2073-2077 - [c54]Philipp Schilk
, Niccolò Polvani, Andrea Ronco, Milos Cernak, Michele Magno:
In-Ear-Voice: Towards Milli-Watt Audio Enhancement With Bone-Conduction Microphones for In-Ear Sensing Platforms. IoTDI 2023: 1-12 - [c53]Philipp Schilk, Niccolò Polvani, Andrea Ronco, Milos Cernak, Michele Magno:
Demo Abstract: In-Ear-Voice - Towards Milli-Watt Audio Enhancement With Bone-Conduction Microphones for In-Ear Sensing Platforms. IoTDI 2023: 488-490 - [i26]Robert P. Spang, Karl El Hajal, Sebastian Möller, Milos Cernak:
Personalized Task Load Prediction in Speech Communication. CoRR abs/2303.00630 (2023) - [i25]Bohan Wang, Damien Ronssin, Milos Cernak:
ALO-VC: Any-to-any Low-latency One-shot Voice Conversion. CoRR abs/2306.01100 (2023) - [i24]Zihan Wu, Neil Scheidwasser-Clow, Karl El Hajal, Milos Cernak:
Speaker Embeddings as Individuality Proxy for Voice Stress Detection. CoRR abs/2306.05915 (2023) - [i23]Philipp Schilk, Niccolò Polvani, Andrea Ronco, Milos Cernak, Michele Magno:
In-Ear-Voice: Towards Milli-Watt Audio Enhancement With Bone-Conduction Microphones for In-Ear Sensing Platforms. CoRR abs/2309.02393 (2023) - [i22]Boris Bergsma, Marta Brzezinska, Oleg V. Yazyev, Milos Cernak:
Cluster-based pruning techniques for audio data. CoRR abs/2309.11922 (2023) - [i21]Jozef Coldenhoff, Andrew Harper, Paul Kendrick, Tijana Stojkovic, Milos Cernak:
Multi-Channel MOSRA: Mean Opinion Score and Room Acoustics Estimation Using Simulated Data and a Teacher Model. CoRR abs/2309.11976 (2023) - 2022
- [c52]Neil Scheidwasser-Clow, Mikolaj Kegler, Pierre Beckmann, Milos Cernak:
SERAB: A Multi-Lingual Benchmark for Speech Emotion Recognition. ICASSP 2022: 7697-7701 - [c51]Boris Bergsma, Minhao Yang, Milos Cernak:
PEAF: Learnable Power Efficient Analog Acoustic Features for Audio Recognition. INTERSPEECH 2022: 381-385 - [c50]Gasser Elbanna, Alice Biryukov, Neil Scheidwasser-Clow, Lara Orlandic, Pablo Mainar, Mikolaj Kegler, Pierre Beckmann, Milos Cernak:
Hybrid Handcrafted and Learnable Audio Representation for Analysis of Speech Under Cognitive and Physical Load. INTERSPEECH 2022: 386-390 - [c49]Damien Ronssin, Milos Cernak:
Application for Real-time Personalized Speaker Extraction. INTERSPEECH 2022: 1955-1956 - [c48]Karl El Hajal, Milos Cernak, Pablo Mainar:
MOSRA: Joint Mean Opinion Score and Room Acoustics Speech Quality Assessment. INTERSPEECH 2022: 3313-3317 - [c47]Alexandru Mocanu, Benjamin Ricaud, Milos Cernak:
Fast accuracy estimation of deep learning based multi-class musical source separation. NLDL 2022 - [i20]Gasser Elbanna, Alice Biryukov, Neil Scheidwasser-Clow, Lara Orlandic, Pablo Mainar, Mikolaj Kegler, Pierre Beckmann, Milos Cernak:
Hybrid Handcrafted and Learnable Audio Representation for Analysis of Speech Under Cognitive and Physical Load. CoRR abs/2203.16637 (2022) - [i19]Karl El Hajal, Milos Cernak, Pablo Mainar:
MOSRA: Joint Mean Opinion Score and Room Acoustics Speech Quality Assessment. CoRR abs/2204.01345 (2022) - [i18]Gasser Elbanna, Neil Scheidwasser-Clow, Mikolaj Kegler, Pierre Beckmann, Karl El Hajal, Milos Cernak:
BYOL-S: Learning Self-supervised Speech Representations by Bootstrapping. CoRR abs/2206.12038 (2022) - [i17]Karl El Hajal, Zihan Wu, Neil Scheidwasser-Clow, Gasser Elbanna, Milos Cernak:
Efficient Speech Quality Assessment using Self-supervised Framewise Embeddings. CoRR abs/2211.06646 (2022) - [i16]Niccolò Polvani, Damien Ronssin, Milos Cernak:
BC-VAD: A Robust Bone Conduction Voice Activity Detection. CoRR abs/2212.02996 (2022) - 2021
- [c46]Damien Ronssin, Milos Cernak:
AC-VC: Non-Parallel Low Latency Phonetic Posteriorgrams Based Voice Conversion. ASRU 2021: 710-716 - [c45]Pierre Beckmann, Mikolaj Kegler, Milos Cernak:
Word-Level Embeddings for Cross-Task Transfer Learning in Speech Processing. EUSIPCO 2021: 446-450 - [c44]Gasser Elbanna, Neil Scheidwasser-Clow, Mikolaj Kegler, Pierre Beckmann, Karl El Hajal, Milos Cernak:
BYOL-S: Learning Self-supervised Speech Representations by Bootstrapping. HEAR@NeurIPS 2021: 25-47 - [c43]Natalia Nessler, Milos Cernak, Paolo Prandoni, Pablo Mainar:
Non-Intrusive Speech Quality Assessment with Transfer Learning and Subject-Specific Scaling. Interspeech 2021: 2406-2410 - [c42]Paula Sánchez López, Paul Callens, Milos Cernak:
A Universal Deep Room Acoustics Estimator. WASPAA 2021: 356-360 - [i15]Paula Sánchez López, Paul Callens, Milos Cernak:
A Universal Deep Room Acoustics Estimator. CoRR abs/2109.14436 (2021) - [i14]Neil Scheidwasser-Clow, Mikolaj Kegler, Pierre Beckmann, Milos Cernak:
SERAB: A multi-lingual benchmark for speech emotion recognition. CoRR abs/2110.03414 (2021) - [i13]Boris Bergsma, Minhao Yang, Milos Cernak:
Power efficient analog features for audio recognition. CoRR abs/2110.03715 (2021) - [i12]Damien Ronssin, Milos Cernak:
AC-VC: Non-parallel Low Latency Phonetic Posteriorgrams Based Voice Conversion. CoRR abs/2111.06601 (2021) - 2020
- [c41]Oriol Barbany Mayor, Milos Cernak:
FastVC: Fast Voice Conversion with non-parallel data. Blizzard Challenge / Voice Conversion Challenge 2020 - [c40]Giorgia Dellaferrera, Flavio Martinelli, Milos Cernak:
A Bin Encoding Training of a Spiking Neural Network Based Voice Activity Detection. ICASSP 2020: 3207-3211 - [c39]Flavio Martinelli, Giorgia Dellaferrera, Pablo Mainar, Milos Cernak:
Spiking Neural Networks Trained With Backpropagation for Low Power Neuromorphic Implementation of Voice Activity Detection. ICASSP 2020: 8544-8548 - [c38]Mikolaj Kegler, Pierre Beckmann, Milos Cernak:
Deep Speech Inpainting of Time-Frequency Masks. INTERSPEECH 2020: 3276-3280 - [i11]Oriol Barbany Mayor, Milos Cernak:
FastVC: Fast Voice Conversion with non-parallel data. CoRR abs/2010.04185 (2020) - [i10]Alexandru Mocanu, Benjamin Ricaud, Milos Cernak:
Fast accuracy estimation of deep learning based multi-class musical source separation. CoRR abs/2010.09453 (2020) - [i9]Paul Callens, Milos Cernak:
Joint Blind Room Acoustic Characterization From Speech And Music Signals Using Convolutional Recurrent Neural Networks. CoRR abs/2010.11167 (2020)
2010 – 2019
- 2019
- [c37]Thibault Viglino, Petr Motlícek, Milos Cernak:
End-to-End Accented Speech Recognition. INTERSPEECH 2019: 2140-2144 - [c36]Tomás Arias-Vergara, Juan Rafael Orozco-Arroyave, Milos Cernak, Sandra Gollwitzer, Maria Schuster, Elmar Nöth:
Phone-Attribute Posteriors to Evaluate the Speech of Cochlear Implant Users. INTERSPEECH 2019: 3108-3112 - [c35]Niccolò Sacchi, Alexandre Nanchen, Martin Jaggi, Milos Cernak:
Open-Vocabulary Keyword Spotting with Audio and Text Embeddings. INTERSPEECH 2019: 3362-3366 - [c34]Berkay Inan, Milos Cernak, Helmut Grabner, Helena Peic Tukuljac, Rodrigo C. G. Pena, Benjamin Ricaud:
Evaluating Audiovisual Source Separation in the Context of Video Conferencing. INTERSPEECH 2019: 4579-4583 - [p1]Ivan Himawan, Srikanth R. Madikeri, Petr Motlícek, Milos Cernak, Sridha Sridharan, Clinton Fookes:
Voice Presentation Attack Detection Using Convolutional Neural Networks. Handbook of Biometric Anti-Spoofing, 2nd Ed. 2019: 391-415 - [i8]Mikolaj Kegler, Pierre Beckmann, Milos Cernak:
Deep speech inpainting of time-frequency masks. CoRR abs/1910.09058 (2019) - [i7]Pierre Beckmann, Mikolaj Kegler, Hugues Saltini, Milos Cernak:
Speech-VGG: A deep feature extractor for speech processing. CoRR abs/1910.09909 (2019) - [i6]Flavio Martinelli, Giorgia Dellaferrera, Pablo Mainar, Milos Cernak:
Spiking neural networks trained with backpropagation for low power neuromorphic implementation of voice activity detection. CoRR abs/1910.09993 (2019) - [i5]Giorgia Dellaferrera, Flavio Martinelli, Milos Cernak:
A Bin Encoding Training of a Spiking Neural Network-based Voice Activity Detection. CoRR abs/1910.12459 (2019) - 2018
- [j11]Juan Rafael Orozco-Arroyave, Juan Camilo Vásquez-Correa, Jesús Francisco Vargas-Bonilla, Raman Arora, Najim Dehak, Phani S. Nidadavolu, Heidi Christensen, Frank Rudzicz, Maria Yancheva, Hamid R. Chinaei, Alyssa Vann, Nikolai Vogler, Tobias Bocklet, Milos Cernak, Julius Hannink, Elmar Nöth:
NeuroSpeech: An open-source software for Parkinson's speech analysis. Digit. Signal Process. 77: 207-221 (2018) - [j10]Juan Rafael Orozco-Arroyave, Juan Camilo Vásquez-Correa, Jesús Francisco Vargas-Bonilla, Raman Arora, Najim Dehak, Phani S. Nidadavolu, Heidi Christensen, Frank Rudzicz, Maria Yancheva, Hamid R. Chinaei, Alyssa Vann, Nikolai Vogler, Tobias Bocklet, Milos Cernak, Julius Hannink, Elmar Nöth:
NeuroSpeech. SoftwareX 8: 69-70 (2018) - [j9]Milos Cernak, Afsaneh Asaei, Alexandre Hyafil:
Cognitive Speech Coding: Examining the Impact of Cognitive Speech Processing on Speech Compression. IEEE Signal Process. Mag. 35(3): 97-109 (2018) - [c33]Milos Cernak, Sibo Tong:
Nasal Speech Sounds Detection Using Connectionist Temporal Classification. ICASSP 2018: 5574-5578 - [c32]Juan Camilo Vásquez-Correa, Nicanor García-Ospina, Juan Rafael Orozco-Arroyave, Milos Cernak, Elmar Nöth:
Phonological Posteriors and GRU Recurrent Units to Assess Speech Impairments of Patients with Parkinson's Disease. TSD 2018: 453-461 - [c31]Nicanor García-Ospina, Tomás Arias-Vergara, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Milos Cernak, Elmar Nöth:
Phonological i-Vectors to Detect Parkinson's Disease. TSD 2018: 462-470 - 2017
- [j8]Milos Cernak, Stefan Benus, Alexandros Lazaridis:
Speech vocoding for laboratory phonology. Comput. Speech Lang. 42: 100-121 (2017) - [j7]Milos Cernak, Juan Rafael Orozco-Arroyave, Frank Rudzicz, Heidi Christensen, Juan Camilo Vásquez-Correa, Elmar Nöth:
Characterisation of voice quality of Parkinson's disease using differential phonological posterior features. Comput. Speech Lang. 46: 196-208 (2017) - [j6]Afsaneh Asaei, Milos Cernak, Hervé Bourlard:
Perceptual Information Loss due to Impaired Speech Production. IEEE ACM Trans. Audio Speech Lang. Process. 25(12): 2433-2443 (2017) - [c30]Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Raman Arora, Elmar Nöth, Najim Dehak, Heidi Christensen, Frank Rudzicz, Tobias Bocklet, Milos Cernak, Hamid R. Chinaei, Julius Hannink, Phani Sankar Nidadavolu, Maria Yancheva, Alyssa Vann, Nikolai Vogler:
Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease. ICASSP 2017: 2966-2970 - [c29]Milos Cernak, Elmar Nöth, Frank Rudzicz, Heidi Christensen, Juan Rafael Orozco-Arroyave, Raman Arora, Tobias Bocklet, Hamidreza Chinaei, Julius Hannink, Phani Sankar Nidadavolu, Juan Camilo Vásquez-Correa, Maria Yancheva, Alyssa Vann, Nikolai Vogler:
On the impact of non-modal phonation on phonological features. ICASSP 2017: 5090-5094 - [c28]Milos Cernak, Alain Komaty, Amir Mohammadi, André Anjos, Sébastien Marcel:
Bob Speaks Kaldi. INTERSPEECH 2017: 2030-2031 - 2016
- [j5]Milos Cernak, Afsaneh Asaei, Hervé Bourlard:
On structured sparsity of phonological posteriors for linguistic parsing. Speech Commun. 84: 36-45 (2016) - [j4]Milos Cernak, Alexandros Lazaridis, Afsaneh Asaei, Philip N. Garner:
Composition of Deep and Spiking Neural Networks for Very Low Bit Rate Speech Coding. IEEE ACM Trans. Audio Speech Lang. Process. 24(12): 2301-2312 (2016) - [c27]Tamás Gábor Csapó, Géza Németh, Milos Cernak, Philip N. Garner:
Modeling unvoiced sounds in statistical parametric speech synthesis with a continuous vocoder. EUSIPCO 2016: 1338-1342 - [c26]Milos Cernak, Afsaneh Asaei, Pierre-Edouard Honnet, Philip N. Garner, Hervé Bourlard:
Sound Pattern Matching for Automatic Prosodic Event Detection. INTERSPEECH 2016: 170-174 - [c25]Milos Cernak, Philip N. Garner:
PhonVoc: A Phonetic and Phonological Vocoding Toolkit. INTERSPEECH 2016: 988-992 - [c24]Afsaneh Asaei, Gil Luyet, Milos Cernak, Hervé Bourlard:
Phonetic and Phonological Posterior Search Space Hashing Exploiting Class-Specific Sparsity Structures. INTERSPEECH 2016: 1873-1877 - [c23]Alexandros Lazaridis, Milos Cernak, Philip N. Garner:
Probabilistic Amplitude Demodulation Features in Speech Synthesis for Improving Prosody. INTERSPEECH 2016: 2298-2302 - [c22]Ramya Rasipuram, Milos Cernak, Mathew Magimai-Doss:
HMM-Based Non-Native Accent Assessment Using Posterior Features. INTERSPEECH 2016: 3137-3141 - [c21]Alexandros Lazaridis, Milos Cernak, Pierre-Edouard Honnet, Philip N. Garner:
Investigating Spectral Amplitude Modulation Phase Hierarchy Features in Speech Synthesis. SSW 2016: 32-37 - [i4]Sucheta Ghosh, Milos Cernak, Sarbani Palit, B. B. Chaudhuri:
An Analysis of Rhythmic Staccato-Vocalization Based on Frequency Demodulation for Laughter Detection in Conversational Meetings. CoRR abs/1601.00833 (2016) - [i3]Milos Cernak, Afsaneh Asaei, Hervé Bourlard:
On Structured Sparsity of Phonological Posteriors for Linguistic Parsing. CoRR abs/1601.05647 (2016) - [i2]Milos Cernak, Stefan Benus, Alexandros Lazaridis:
Speech vocoding for laboratory phonology. CoRR abs/1601.05991 (2016) - [i1]Milos Cernak, Alexandros Lazaridis, Afsaneh Asaei, Philip N. Garner:
Composition of Deep and Spiking Neural Networks for Very Low Bit Rate Speech Coding. CoRR abs/1604.04383 (2016) - 2015
- [j3]Milos Cernak, Philip N. Garner, Alexandros Lazaridis, Petr Motlícek, Xingyu Na:
Incremental Syllable-Context Phonetic Vocoding. IEEE ACM Trans. Audio Speech Lang. Process. 23(6): 1019-1030 (2015) - [c20]Milos Cernak, Blaise Potard, Philip N. Garner:
Phonological vocoding using artificial neural networks. ICASSP 2015: 4844-4848 - [c19]Afsaneh Asaei, Milos Cernak, Hervé Bourlard:
On compressibility of neural network phonological features for low bit rate speech coding. INTERSPEECH 2015: 418-422 - [c18]Milos Cernak, Pierre-Edouard Honnet:
An empirical model of emphatic word detection. INTERSPEECH 2015: 573-577 - [c17]Ramya Rasipuram, Milos Cernak, Alexandre Nanchen, Mathew Magimai-Doss:
Automatic accentedness evaluation of non-native speech using phonetic and sub-phonetic posterior probabilities. INTERSPEECH 2015: 648-652 - [c16]Alexandre Hyafil, Milos Cernak:
Neuromorphic based oscillatory device for incremental syllable boundary detection. INTERSPEECH 2015: 1191-1195 - [c15]Tamás Gábor Csapó, Géza Németh, Milos Cernak:
Residual-Based Excitation with Continuous F0 Modeling in HMM-Based Speech Synthesis. SLSP 2015: 27-38 - 2014
- [c14]Petr Motlícek, David Imseng, Milos Cernak, Namhoon Kim:
Development of bilingual ASR system for MediaParl corpus. INTERSPEECH 2014: 1391-1394 - [c13]Milos Cernak, Alexandros Lazaridis, Philip N. Garner, Petr Motlícek:
Stress and accent transmission in HMM-based syllable-context very low bit rate speech coding. INTERSPEECH 2014: 2799-2803 - 2013
- [j2]Philip N. Garner, Milos Cernak, Petr Motlícek:
A Simple Continuous Pitch Estimation Algorithm. IEEE Signal Process. Lett. 20(1): 102-105 (2013) - [c12]Lakshmi Saheer, Milos Cernak:
Automatic Staging of Audio with Emotions. ACII 2013: 705-706 - [c11]Milos Cernak, Petr Motlícek, Philip N. Garner:
On the (UN)importance of the contextual factors in HMM-based speech synthesis and coding. ICASSP 2013: 8140-8143 - [c10]Milos Cernak, Xingyu Na, Philip N. Garner:
Syllable-based pitch encoding for low bit rate speech coding with recognition/synthesis architecture. INTERSPEECH 2013: 3449-3452 - 2012
- [c9]Milos Cernak, David Imseng, Hervé Bourlard:
Robust triphone mapping for acoustic modeling. INTERSPEECH 2012: 1910-1913 - [c8]Arthur Kantor, Milos Cernak, Jirí Havelka, Sean Huber, Jan Kleindienst, Doris B. Gonzalez:
Reading companion: the technical and social design of an automated reading tutor. WOCCI 2012: 53-59 - 2011
- [c7]Sakhia Darjaa, Milos Cernak, Marián Trnka, Milan Rusko, Róbert Sabo:
Effective Triphone Mapping for Acoustic Modeling in Speech Recognition. INTERSPEECH 2011: 1717-1720 - [c6]Sakhia Darjaa, Milos Cernak, Stefan Benus, Milan Rusko, Róbert Sabo, Marián Trnka:
Rule-Based Triphone Mapping for Acoustic Modeling in Automatic Speech Recognition. TSD 2011: 268-275 - 2010
- [j1]Milos Cernak:
A Comparison of Decision Tree Classifiers for Automatic Diagnosis of Speech Recognition Errors. Comput. Informatics 29(3): 489-501 (2010) - [c5]Milos Cernak:
Diagnostics for Debugging Speech Recognition Systems. TSD 2010: 251-258
2000 – 2009
- 2006
- [c4]Milos Cernak, Christian Wellekens:
Diagnostics of speech recognition using classification phoneme diagnostic trees. Computational Intelligence 2006: 343-348 - [c3]Milos Cernak:
Unit Selection Speech Synthesis in Noise. ICASSP (1) 2006: 761-764 - 2005
- [c2]Thierry Dutoit, Milos Cernak:
TTSBOX: a MATLAB toolbox for teaching text-to-speech synthesis. ICASSP (5) 2005: 537-540 - 2004
- [c1]Milan Rusko, Marián Trnka, Sachia Darzágín, Milos Cernak:
Slovak Speech Database for Experiments and Application Building in Unit-Selection Speech Synthesis. TSD 2004: 457-464
Coauthor Index
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