Ryan Groves

Ryan Groves

Genf, Genf, Schweiz
2135 Follower:innen 500+ Kontakte

Info

Ryan Groves is an award-winning music researcher and veteran developer of intelligent…

Aktivitäten

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Berufserfahrung

  • Infinite Album Grafik
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    Berlin Area, Germany

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    Berlin Area, Germany

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    Calabasas

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    Online

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    Culver City, CA

Ausbildung

Bescheinigungen und Zertifikate

Ehrenamt

  • Mentor

    Women in Music Information Retrieval

    7 Jahre 1 Monat

    Volunteered as a Mentor for the gender equality initiative in my field (MIR).

  • Co-organizer

    Berlin Music Information Retrieval (MIR) Meetup

    –Heute 6 Jahre 8 Monate

    Education

  • 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

  • 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:innen
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  • 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

  • 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

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Projekte

  • 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.

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  • 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)

    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:innen
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Auszeichnungen/Preise

  • 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

  • English

    Muttersprache oder zweisprachig

  • German

    Gute Kenntnisse

Organisationen

  • 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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