„Ryan is a talented and hard working engineer who gets stuff done. He has tackled a large variety of challenging, research intensive problems that lie near the heart of the audio engine, and each time he has discovered crucial insights that allow for significant improvements to the technology. Ryan is always very professional, hard working, and easy to work with. His proactive style and good communication skills are also a strong asset. I would welcome the opportunity to work with Ryan again.“
Info
Ryan Groves is an award-winning music researcher and veteran developer of intelligent…
Aktivitäten
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Oh the bittersweet irony of being proven right all these years (even on the verge of Resonate shutting down): "Our single best hope is a cooperative…
Oh the bittersweet irony of being proven right all these years (even on the verge of Resonate shutting down): "Our single best hope is a cooperative…
Beliebt bei Ryan Groves
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🔮 My music industry predictions for 2025: 1) The rise of the independent music curator 🎙️ Music tastemakers will take over. Streaming has an…
🔮 My music industry predictions for 2025: 1) The rise of the independent music curator 🎙️ Music tastemakers will take over. Streaming has an…
Beliebt bei Ryan Groves
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Thanks Switzerland Innovation Park Zurich for this great video summary of this year's AI Song Contest. Proud to have brought so many great artists…
Thanks Switzerland Innovation Park Zurich for this great video summary of this year's AI Song Contest. Proud to have brought so many great artists…
Geteilt von Ryan Groves
Berufserfahrung
Ausbildung
Bescheinigungen und Zertifikate
Ehrenamt
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Mentor
Women in Music Information Retrieval
– 7 Jahre 1 Monat
Volunteered as a Mentor for the gender equality initiative in my field (MIR).
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Co-organizer
Berlin Music Information Retrieval (MIR) Meetup
–Heute 6 Jahre 8 Monate
Education
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Committee Member
Women in Music Information Retrieval (WiMIR)
– 3 Jahre 1 Monat
Civil Rights and Social Action
WiMIR is a group of people within the International Society for Music Information Retrieval. We are dedicated to promoting the role of, and increasing opportunities for, women in the MIR field. We meet to socialize, share information, and discuss in an informal setting, with the goal of building a community around women in our field.
My role as Committee Member is primarily to help coordinate our Mentoring Program, of which I've been a Mentor for 4 years. We've also begun organizing peer…WiMIR is a group of people within the International Society for Music Information Retrieval. We are dedicated to promoting the role of, and increasing opportunities for, women in the MIR field. We meet to socialize, share information, and discuss in an informal setting, with the goal of building a community around women in our field.
My role as Committee Member is primarily to help coordinate our Mentoring Program, of which I've been a Mentor for 4 years. We've also begun organizing peer mentoring for the Mentors in the program. -
Publication Reviewer
International Society of Music Information Retrieval (ISMIR)
– 3 Jahre 1 Monat
Education
Veröffentlichungen
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Human-AI Music Process: A Dataset of AI-Supported Songwriting Processes from the AI Song Contest
A dataset of the process documents from all of the participating teams of the 2023 AI Song Contest.
Andere Autor:innenVeröffentlichung anzeigen -
Deep Adaptation: How Generative Music Affects Engagement and Immersion in Interactive Experiences
DMRN+12: Digital Music Research Network Workshop Proceedings 2017
This paper presents the results of a psychological experiment in which we measured the perceived level of immersion and time spent in the experience in a virtual reality experience under three music conditions: no music, linear music and machine-generated deep adaptive music. We found that deep adaptive music increased both the time spent in the interactive experience and significantly amplified the immersion of participants.
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Automatic Melodic Reduction Using a Supervised Probabilistic Context-Free Grammar
International Society for Music Information Retrieval (ISMIR)
This research explores a Natural Language Processing technique utilized for the automatic reduction of melodies: the Probabilistic Context-Free Grammar (PCFG). Automatic melodic reduction was previously explored by means of a probabilistic grammar. However, each of these methods used unsupervised learning to estimate the probabilities for the grammar rules, and thus a corpus-based evaluation was not performed. A dataset of analyses using the Generative Theory of Tonal Music (GTTM) exists, which…
This research explores a Natural Language Processing technique utilized for the automatic reduction of melodies: the Probabilistic Context-Free Grammar (PCFG). Automatic melodic reduction was previously explored by means of a probabilistic grammar. However, each of these methods used unsupervised learning to estimate the probabilities for the grammar rules, and thus a corpus-based evaluation was not performed. A dataset of analyses using the Generative Theory of Tonal Music (GTTM) exists, which contains 300 Western tonal melodies and their corresponding melodic reductions in tree format. In this work, supervised learning is used to train a PCFG for the task of melodic reduction, using the tree analyses provided by the GTTM dataset. The resulting model is evaluated on its ability to create accurate reduction trees, based on a node-by-node comparison with ground-truth trees. Multiple data representations are explored, and example output reductions are shown. Motivations for performing melodic reduction include melodic identification and similarity, efficient storage of melodies, automatic composition, variation matching, and automatic harmonic analysis.
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Thesis: Automatic Melodic Analysis
McGill University
Melodic reduction is a process performed on symbolic music to discover the more important structural notes of a melody. In music theory literature the process has a foundation in the works of Heinrich Schenker, as well as Fred Lerdahl, and Ray Jackendoff. Among other applications, melodic reduction can be used for: harmony estimation, melodic similarity and comparison, compression of melodic representations, melodic search, and automatic or assisted composition. The process of melodic reduction…
Melodic reduction is a process performed on symbolic music to discover the more important structural notes of a melody. In music theory literature the process has a foundation in the works of Heinrich Schenker, as well as Fred Lerdahl, and Ray Jackendoff. Among other applications, melodic reduction can be used for: harmony estimation, melodic similarity and comparison, compression of melodic representations, melodic search, and automatic or assisted composition. The process of melodic reduction can also involve auxiliary melodic analysis methods such as melodic segmentation (or grouping), metrical structure analysis, and melodic parallelism. This thesis investigates the use of a technique originally developed for Natural Language Processing (NLP) to identify hierarchies in sequential data—the Probabilistic Context-Free Grammar (PCFG).Using the PCFG, it is possible to encode the rules of embellishment, allowing the identification of melodic embellishments. After defining each rule for a PCFG, it can take a sequence of notes and automatically build a tree structure by iteratively applying the rules. The hierarchical tree structure represents a reduction, since every subsequent level contains less and less notes. This thesis involves the supervised training of a PCFG using melodic reductions that were annotated using The Generative Theory of Tonal Music (GTTM) (Lerdahl and Jackendoff 1983). The GTTM dataset provides the melodic reductions in tree format, which is compatible with the PCFG technique (Hamanaka, Hirata, and Tojo 2007b). By leveraging the existing reductions, one can model the distributions for each of the rules contained in the analyses, and use those to find the most probable melodic reduction for a new input melody. A standard evaluation methodology is used to test the efficacy of the melodic reduction grammar.
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Towards the Generation of Melodic Structure
4th International Workshop on Musical Metacreation
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Finding Optimal Harmonic Spaces Using Dijkstra's Shortest Path Algorithm
Society for Mathematics and Computation in Music, 2015
There has been extensive work in the last few decades on tranformational spaces within the realm of music analysis. This has been applied to both pitch transformations and also extended to triadic transformations. Given this, it is possible to create 2-dimensional graphs of triadic transformational spaces which can be used to describe the transitions of a particular piece. Based on that concept, I built a software tool that will iterate through all possible 2D graphs, and find the shortest path…
There has been extensive work in the last few decades on tranformational spaces within the realm of music analysis. This has been applied to both pitch transformations and also extended to triadic transformations. Given this, it is possible to create 2-dimensional graphs of triadic transformational spaces which can be used to describe the transitions of a particular piece. Based on that concept, I built a software tool that will iterate through all possible 2D graphs, and find the shortest path for each transition in a piece, allowing the user to find the most efficient transformational space for that piece.
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Rock 'n' Roll Chord Progression Generator
Society for Mathematics and Computation in Music
Presented original work regarding a system which generates chord progressions in the style of Rock 'n' Roll. The research was presented as both a poster session and a 5-minute oral presentation as part of the 2013 Mathematics and Computation in Music Conference.
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Melody-to-Harmony Correction Based on Simplified Counterpoint
International Society of Music Information Retrieval
This research distilled the rules of classical counterpoint and applied them to the generation of popular music melodies. The system analyzes a melody, and, based on its chord progression, makes decisions to move notes up or down in pitch in order to create a more consonant melodic sequence.
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Automatic Harmonization using a Hidden Semi-Markov Model
Association for the Advancement of Artificial Intelligence
This research explores the use of an extended probabilistic model such as the Hidden Semi-Markov Model (HSMM) to approach the task of automatic harmonization. One distinct advantage of the HSMM is that it is able to automatically differentiate harmonic boundaries, through its inclusion of an extra parameter: duration. In this way, a melody can be harmonized automatically in the style of a particular corpus. In the case of this research, the corpus was in the style of Rock 'n' Roll.
It…This research explores the use of an extended probabilistic model such as the Hidden Semi-Markov Model (HSMM) to approach the task of automatic harmonization. One distinct advantage of the HSMM is that it is able to automatically differentiate harmonic boundaries, through its inclusion of an extra parameter: duration. In this way, a melody can be harmonized automatically in the style of a particular corpus. In the case of this research, the corpus was in the style of Rock 'n' Roll.
It was presented at the 2013 Workshop on Musical Metacreation, as part of the Conference on Artificial Intelligence In Digital Entertainment
Projekte
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Ditty
Ditty is a fast and fun new way to send friends a custom song and lyric video. Launched as the first of a select group of apps to be part of Facebook's messenger platform, Ditty transforms your texts into a pop song.
Andere Mitarbeiter:innenProjekt anzeigen -
Figure Divinator: Rule-based Generation of Figured Bass from Musical Scores
–Heute
The Figure Divinator is part of the Research Centre for Harpsichord Performance at McGill University. There, the research focus is in the automation of figured bass analysis and notation for harpsichord accompaniments. As a team member, I developed a test framework for the analysis of the application of the figured bass rule set, adapted from Monsieur Michel de Saint Lambert’s “Rules for divining the figures when the bass is not figured,” from Chapter 7 of his Nouveau traite de l’accompagnement…
The Figure Divinator is part of the Research Centre for Harpsichord Performance at McGill University. There, the research focus is in the automation of figured bass analysis and notation for harpsichord accompaniments. As a team member, I developed a test framework for the analysis of the application of the figured bass rule set, adapted from Monsieur Michel de Saint Lambert’s “Rules for divining the figures when the bass is not figured,” from Chapter 7 of his Nouveau traite de l’accompagnement du clavecin, de l’orgue, et des autres instruments (1707).
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Zya
Zya is the only platform that allows you to easily make studio-quality music and use famous hooks to reimagine hit songs. Combining patent-pending SoundBetter technology and a unique interactive studio environment, Zya delivers a new form of music entertainment: a powerful recording tool wrapped in a fun game-like experience. With Zya, users can enhance and transform their voices, create new beats, and integrate hooks from a number of Zya Characters that represent different musical genres. Zya…
Zya is the only platform that allows you to easily make studio-quality music and use famous hooks to reimagine hit songs. Combining patent-pending SoundBetter technology and a unique interactive studio environment, Zya delivers a new form of music entertainment: a powerful recording tool wrapped in a fun game-like experience. With Zya, users can enhance and transform their voices, create new beats, and integrate hooks from a number of Zya Characters that represent different musical genres. Zya users can also incorporate famous hooks from hit songs into original, unique works. All songs created with Zya can be shared across popular social networks.
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Electronic Locator of Vertical Interval Successions (ELVIS)
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Leading the field of computational musicology, ELVIS is designed to query large datasets of musical scores to discover and conceptualize patterns in classical music. The system executes searches on combinations of voices, and has formalized the concept of a single musical unit-- the n-gram. With this unit, strings of n-grams can be searched and aggregated, and stylistic motion can be mapped across different composers and musical eras, with the immense resource of 600 years of digital classical…
Leading the field of computational musicology, ELVIS is designed to query large datasets of musical scores to discover and conceptualize patterns in classical music. The system executes searches on combinations of voices, and has formalized the concept of a single musical unit-- the n-gram. With this unit, strings of n-grams can be searched and aggregated, and stylistic motion can be mapped across different composers and musical eras, with the immense resource of 600 years of digital classical scores.
Andere Mitarbeiter:innenProjekt anzeigen
Auszeichnungen/Preise
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Best Paper
International Society for Music Information Retrieval
My paper, titled "Automatic Melodic Reduction Using a Supervised Probabilistic Context-Free Grammar" won Best Paper overall for ISMIR 2016. It was chosen by a committee from a set of 115 paper submissions.
https://wp.nyu.edu/ismir2016/event/awards/ -
Appy Award for Best Music App 2015
MediaPost communications
Ditty beat out other heavy-hitting music apps like SoundCloud in order to secure the award for the Appy Award's Best Music App of 2015.
http://www.mediapost.com/appyawards/winners/?event=2015 -
Award for 3rd Best Hack: Sequencer+
Montreal Music Hack Day 2012
Built an interactive sequencer from the ground up through Google Hangouts API, as part of a group of 4 developers. The sequencer was a shared surface that anyone could modify while hanging out. It would play back a synth sound for every button in a grid (organized in a musical scale), based on input from any user. It included a series of modifiable parameters, and updated everyone's sequencer asynchronously.
Sprachen
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English
Muttersprache oder zweisprachig
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German
Gute Kenntnisse
Organisationen
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Association for Computational Creativity
Member
–Heute -
Association for the Advancement of Artificial Intelligence
Member
–Heute -
International Society of Music Information Retrieval
Member
–Heute
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Jetzt anmelden und ansehenWeitere Aktivitäten von Ryan Groves
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✨ Relive the magic of the AI Song Contest, held at Switzerland Innovation Park Zurich on 5 October 2024, with this newly-published aftermovie! This…
✨ Relive the magic of the AI Song Contest, held at Switzerland Innovation Park Zurich on 5 October 2024, with this newly-published aftermovie! This…
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Cindy Charles, Twitch's Head of Music, was posthumously honored as EDM.com's Industry Executive of the Year. This recognition is a testament to her…
Cindy Charles, Twitch's Head of Music, was posthumously honored as EDM.com's Industry Executive of the Year. This recognition is a testament to her…
Beliebt bei Ryan Groves
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Today marks the 100 year anniversary of the passing of my great grandfather Carl Anton Larsen, more commonly known as Captain C. A. Larsen. He was…
Today marks the 100 year anniversary of the passing of my great grandfather Carl Anton Larsen, more commonly known as Captain C. A. Larsen. He was…
Beliebt bei Ryan Groves
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I sent this letter to Lisa Nandy, the UK’s Secretary of State for Culture, Media & Sport, expressing concern at the government's proposals to change…
I sent this letter to Lisa Nandy, the UK’s Secretary of State for Culture, Media & Sport, expressing concern at the government's proposals to change…
Beliebt bei Ryan Groves
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Pioneering end-to-end legal solution for generative AI -- rightsholders on one side and gen AI company all sitting on Musical AI's tech stack.
Pioneering end-to-end legal solution for generative AI -- rightsholders on one side and gen AI company all sitting on Musical AI's tech stack.
Beliebt bei Ryan Groves
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Ray Browser, the world’s first browser created specifically for high-end, web-based gaming, announced the close of their most recent funding round…
Ray Browser, the world’s first browser created specifically for high-end, web-based gaming, announced the close of their most recent funding round…
Beliebt bei Ryan Groves
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The 3rd edition of the Generative AI Music Workshop in collaboration between The Sound of AI and Music Technology Group started on Monday. I can’t…
The 3rd edition of the Generative AI Music Workshop in collaboration between The Sound of AI and Music Technology Group started on Monday. I can’t…
Beliebt bei Ryan Groves
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As 2024 slowly comes to an end, it marks my first full year as Manager Programming at Switzerland Innovation Park Zurich – and what a year it has…
As 2024 slowly comes to an end, it marks my first full year as Manager Programming at Switzerland Innovation Park Zurich – and what a year it has…
Beliebt bei Ryan Groves
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Thrilled to lead a workshop on Hacking for Innovation as part of Berklee Valencia’s Innovation Week. Guiding our brilliant students through the…
Thrilled to lead a workshop on Hacking for Innovation as part of Berklee Valencia’s Innovation Week. Guiding our brilliant students through the…
Beliebt bei Ryan Groves
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Why did Spotify just update their terms regarding scraping and training? 👀 Is this about limiting feature competition or illegal training on…
Why did Spotify just update their terms regarding scraping and training? 👀 Is this about limiting feature competition or illegal training on…
Beliebt bei Ryan Groves
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I am super excited to share that my forthcoming book with Alex Hanna, Ph.D., THE AI CON: How to Fight Big Tech's Hype and Create the Future We Want…
I am super excited to share that my forthcoming book with Alex Hanna, Ph.D., THE AI CON: How to Fight Big Tech's Hype and Create the Future We Want…
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