informations

Type
Ensemble de conférences, symposium, congrès
Lieu de représentation
Ircam, Salle Igor-Stravinsky (Paris)
durée
47 min
date
19 mars 2021

An overview of AI for Music and Audio Generation

I'll discuss recent advances in AI for music creation, focusing on Machine Learning (ML) and Human-Computer Interaction (HCI) coming from our Magenta project (g.co/magenta). I'll argue that generative ML models by themselves are of limited creative value because they are hard to use in our current music creation workflows. This motivates research in HCI and especially good user interface design. I'll talk about a promising audio-generation project called Differentiable Digital Signal Processing (DDSP; Jesse Engel et al.) and about recent progress in modeling musical scores using Music Transformer (Anna Huang et al.). I'll also talk about work done in designing experimental interfaces for composers and musicians. Time permitting I'll relate this to similar work in the domain of creative writing. Overall my message will be one of restrained enthusiasm: Recent research in ML has offered some amazing advances in tools for music creation, but aside from a few outlier examples, we've yet to bring these models successfully into creative practice.

intervenants

Les médias liés à cet évènement

From psychoacoustics to deep learning: learning low-level processing of sound with neural networks - Neil Zeghidour

Mel-filterbanks are fixed, engineered audio features which emulate human perception and have been used through the history of audio understanding up to today. However, their undeniable qualities are counterbalanced by the fundamental limita

19 mars 2021 18 min

Vidéo

Deep Learning for Voice processing - Nicolas Obin, Axel Roebel, Yann Teytaut

Deep Neural Networks are increasingly dominating the research activities in the Analysis/Synthesis team and elsewhere. The session will present some of the recent results of the research activities related to voice processing with deep neur

19 mars 2021 32 min

Vidéo

Towards helpful, customer-specific Text-To-Speech synthesis - David Guennec

The subject of automatic speech synthesis began to be popularised as early as the 1990s. Each of us has already had to deal with automatic answering machine voices that made us all suffer in the beginning. Today, however, the progress made

19 mars 2021 29 min

Vidéo

Tools for creative AI and noise - Philippe Esling

We will present the latest creative tools developed by the RepMus team (ACIDS project), enabling real-time audio synthesis as well as music generation and production and synthesizer control, all in open-source code, as well as Max4Live and

19 mars 2021 20 min

Vidéo

Xtextures - Convolutional neural networks for texture synthesis and cross synthesis - Axel Roebel

Neural style transfer applied to images has received considerable interest and has triggered many research activities aiming to use the underlying strategies for manipulation of music or sound. While the many fundamental differences between

19 mars 2021 20 min

Vidéo

Round Table IA : Questions/discussions

19 mars 2021 30 min

Vidéo

Melodic Scale and Virtual Choir, Max ISiS - Grégory Beller

Dans cette présentation, Greg Beller exposera les développements récents dans le domaine du traitement de la voix. Melodic Scale est un dispositif Max For Live qui modifie automatiquement une ligne mélodique en temps réel, en changeant sa g

19 mars 2021 26 min

Vidéo

Greg Beller, David Guennec, Nicolas Obin, Axel Roebel, Hugues Vinet. Table ronde

19 mars 2021 20 min

Vidéo

Interaction with musical generative agents - Jérôme Nika

The Musical Representations team explores the paradigm of computational creativity using devices inspired by artificial intelligence, particularly in the sense of new symbolic musician-machine interactions. The presentation will focus in pa

19 mars 2021 21 min

Vidéo

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