Music research

The Music team at Sony Computer Science Laboratory Paris was set up in 1997 by François Pachet.

The Music Team is concerned with two main areas: the multiple facets of interaction in music, and the challenges of robust music description.

Since its creation, the team developed several pioneering technologies (constraint-based spatialization, intelligent music scheduling using metadata) and award winning systems (MusicSpace, PathBuilder, The Continuator for Interactive Music Improvisation, VirtualBand, Virtuoso).

This work leads to new modes of access to music, interaction with sound, and human interaction. Our systems are expanding towards a new generation of tools, the Flow Machines, whose aim is to abstract "style" from concrete corpora (text, music, etc.), and turn it into a malleable substance that acts as a texture. Applications range from music composition to text or drawing generation. Technically, these systems raise issues in machine-learning (learning style, extracting features), combinatorial optimization (fitting styles to arbitrary constraints) and knowledge representation.

Projects

Flow Machines

Continuator

Virtuoso

VirtualBand

Praise

Miror

Markov Constraints

BackJava

Musaicing

MusicSpace

Feature Generation

Timbre

Playlist

Active Listening

Animal Communication

Publications

Hadjeres, G and Pachet, F. DeepBach: a Steerable Model for Bach chorales generation. arXiv:1612.01010, December 2016 https://arxiv.org/abs/1612.01010
2016
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Gorlow, S., Ramona, M. and Pachet F. Decision-Based Transcription of Jazz Guitar Solos Using a Harmonic Bident Analysis Filter Bank & Spectral Distribution Weighting. arXiv:1611.06505, November 2016 https://arxiv.org/abs/1611.06505 Audio Files: https://doi.org/10.5281/zenodo.167567
2016
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Gorlow, S., Ramona, M. and Pachet F. SISO and SIMO Accompaniment Cancellation for Live Solo Recordings Based on Short-Time ERB-Band Wiener Filtering & Spectral Subtraction. arXiv:1611.08905, November 2016 https://arxiv.org/abs/1611.08905
2016
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Hadjeres, G., Sakellariou, J. and Pachet F. Style Imitation and Chord Invention in Polyphonic Music with Exponential Families. arXiv:1609.05152, September 2016 http://arxiv.org/abs/1609.05152
2016
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Pachet, F. A Joyful Ode to Automatic Orchestration. ACM Transactions on Intelligent Systems and Technology, Special Issue on Intelligent Music Systems and Applications, 8(2), October 2016 Article 18 (invited contribution)
2016
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Sakellariou, J., Tria, F., Loreto, V. and Pachet, F. Maximum entropy models capture melodic styles. arXiv:1610.03414, October 2016 https://arxiv.org/abs/1610.03414
2016
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Moulieras, S. and Pachet, F. Maximum entropy models for generation of expressive music. arXiv:1610.03606, October 2016 https://arxiv.org/abs/1610.03606
2016
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François Pachet, Amilcar Cardoso, Vincent Corruble, Fiammetta Ghedini Proceedings of the Seventh International Conference on Computational Creativity (ICCC 2016). Paris, France, June 2016 Sony CSL Paris, France. ISBN 9782746691551
2016
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Roy, P., Perez, G., Jean-Charles Régin, Papadopoulos, A., Pachet, F. and Marchini, M. Enforcing Structure on Temporal Sequences: the Allen Constraint. Proceedings of the 22nd International Conference on Principles and Practice of Constraint Programming - CP, Toulouse, France, September 2016 Springer.
2016
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Papadopoulos, A., Roy, P. and Pachet, F. Assisted Lead Sheet Composition using FlowComposer. Proceedings of the 22nd International Conference on Principles and Practice of Constraint Programming - CP, Toulouse, France, September 2016
2016
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