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Datasets
Groove2Groove MIDI Dataset: synthetic accompaniments in 3k styles, by O. Cífka on 2020/10/29.
SAMBASET: a Dataset of Historical Samba de Enredo Recordings for Computational Music Analysis, by L. S. Maia on 2019/11/01.
SHED: A dataset of simulated current and voltage measurements for X buildings, by S. Henriet on 2019/06/01.
Medley-solos-DB: a cross-collection dataset for musical instrument recognition, by V. Lostanlen, C.-E. Cella, R. Bittner, S. Essid on 2018/09/28.
UE-HRI: a dataset for the study of user engagement in spontaneous Human-Robot Interactions, by A. Ben-Youssef, C. Clavel, S. Essid on 2017/05/18.
EMOEEG: a New Multimodal Dataset for Dynamic EEG-based Emotion Recognition with Audiovisual Elicitation, by A. C. Conneau, A. Hajlaoui, M. Chetouani, S. Essid on 2017/03/03.
SCISSDB: SCore Informed Source Separation DataBase, by R. Hennequin on 2012/09/12.
QUASI Database: a Musical Audio Signal Database for Source Separation, by T. Fillon on 2012/03/12.
Onset_Leveau: a dataset for audio onset detection, by P. Leveau on 2011/07/13.
3DLife multimodal dance performance dataset, by S. Essid on 2011/05/03.
Romeo-HRTF: a Multi-microphone Head Related Transfer Function Database, by M. Maazaoui on 2011/03/31.
MAPS Database: a Piano database for multipitch estimation and automatic transcription of music, by V. Emiya, B. David on 2010/07/08.
ENST-Drums: an extensive audio-visual database for drum signals processing, by O. Gillet, G. Richard on 2009/11/25.
Software
- Resources for the paper: Self-Supervised VQ-VAE for One-Shot Music Style Transfer, by O. Cífka on 2021/02/14. >>
- html-midi-player: HTML elements for MIDI playback and visualization, by O. Cífka on 2021/01/18. >>
- mirdata: Software for Reproducible Usage of Datasets, by M. Fuentes on 2020/11/02. >>
- Groove2Groove: One-shot style transfer for music accompaniments, by O. Cífka, U. Şimşekli, G. Richard on 2020/10/26. >>
- t(g)nmf: Supervised (group) NMF: Python implementation of task-driven NMF, by V. Bisot, R. Serizel on 2017/03/01. >>
- Reassigned Constant-Q transform, by S. Fenet on 2016/10/07. >>
- beta_nmf_minibatch: Theano-based implementation of minibatch-NMF, by R. Serizel on 2016/06/01. >>
- beta_nmf_class: Theano-based implementation of group-NMF, by R. Serizel on 2016/06/01. >>
- GPGPU-Beta-NMF: Theano-based implementation of NMF with beta-divergence, by R. Serizel on 2016/06/01. >>
- soft_cofact: smooth nonnegative matrix factorisation and co-factorisation, by N. Seichepine on 2014/06/01. >>
- BIRD: Python implementation of Blind Random Pursuit Denoising, by M. Moussalam on 2014/06/01. >>
- PyMP: a Pythonic Implementation of Greedy Algorithms for audio signal decomposition, by M. Moussalam on 2013/09/13. >>
- Code & companion page for the paper: Harmonic Adaptive Latent Component Analysis of Audio and Application to Music Transcription, by B. Fuentes on 2012/07/13. >>
- Code & companion page for the paper: Blind Harmonic Adaptive Decomposition Applied to Supervised Source Separation, by B. Fuentes on 2012/06/14. >>
- Code & companion page for the paper: A Flexible Multi-Resolution Time-Frequency Analysis Framework, by T. Fillon, J. Prado on 2012/04/14. >>
- Companion page for the paper: Probabilistic Model for Main Melody Extraction Using Constant-Q Transform, by B. Fuentes on 2012/01/16. >>
- Code & companion page for the paper: Matching Pursuits with Random Sequential Subdictionaries, by M. Moussalam on 2012/01/12. >>
- Sound Onset labellizer, by P. Leveau, G. Richard on 2011/07/13. >>
- SeparateLead: Lead instrument (or main melody) Separation, by J. L. Durrieu on 2011/06/07. >>
- Invertible CQT, by J. Prado on 2011/06/06. >>
- Yaafe: yet another audio feature extractor, by B. Mathieu, T. Fillon, S. Essid on 2010/02/19. >>
- smarc: smart audio rate converter, by J. Prado on 2010/02/19. >>
- HRLib: sinusoid/noise separation in audio signals, by O. Gillet on 2010/02/19. >>
Companion & demo pages
- Resources for the paper: Self-Supervised VQ-VAE for One-Shot Music Style Transfer, by O. Cífka on 2021/02/14. >>
- Groove2Groove: One-shot style transfer for music accompaniments, by O. Cífka, U. Şimşekli, G. Richard on 2020/10/26. >>
- Companion page for the paper: Identify, Locate and Separate: Audio-Visual Object Extraction in Large Video Collections using Weak Supervision, by S. Parekh on 2019/10/01. >>
- Weakly Supervised Representation Learning for Audio-Visual Scene Analysis, by S. Parekh on 2018/07/09. >>
- Guiding Audio Source Separation by Video Object Information, by S. Parekh on 2017/04/27. >>
- Reassigned Constant-Q transform, by S. Fenet on 2016/10/07. >>
- Sound examples for the paper: Parametric Audio Coding with Exponentially Damped Sinusoids, by O. Derrien, et al. on 2013/01/15. >>
- Companion page for the paper: Introducing a Simple Fusion Framework for Audio Source Separation, by X. Jaureguiberry on 2012/12/02. >>
- Companion page for the paper: Low bitrate informed source separation of realistic mixtures, by A. Liutkus on 2012/11/28. >>
- Code & companion page for the paper: Harmonic Adaptive Latent Component Analysis of Audio and Application to Music Transcription, by B. Fuentes on 2012/07/13. >>
- Code & companion page for the paper: Blind Harmonic Adaptive Decomposition Applied to Supervised Source Separation, by B. Fuentes on 2012/06/14. >>
- Code & companion page for the paper: A Flexible Multi-Resolution Time-Frequency Analysis Framework, by T. Fillon, J. Prado on 2012/04/14. >>
- Companion page for the paper: Probabilistic Model for Main Melody Extraction Using Constant-Q Transform, by B. Fuentes on 2012/01/16. >>
- Code & companion page for the paper: Matching Pursuits with Random Sequential Subdictionaries, by M. Moussalam on 2012/01/12. >>
- Sound Onset labellizer, by P. Leveau, G. Richard on 2011/07/13. >>
- Demo of Enhanced Visualisation of Dance Performances from Automatically Synchronised Multimodal Recordings, by S. Essid on 2011/07/01. >>
- SeparateLead: Lead instrument (or main melody) Separation, by J. L. Durrieu on 2011/06/07. >>
- Demo of Audio-driven dance performance analysis, by S. Essid on 2011/06/01. >>
Invited talks
- Learning Structures from High-dimensional Data, by S. Zhang on 2021/02/04. >>
- Learning Transformations and Invariances with Artificial Neural Networks, by S. Lattner on 2020/01/24. >>
- Self-supervised learning: a review and new perspectives, by V. Lostanlen on 2020/01/10. >>
- Simplifying the Creation of Spoken-word Content, by G. Mysore on 2019/10/04. >>
- Computational rhythm analysis from audio recordings, by M. Rocamora on 2018/11/15. >>
- An Introduction to the Audio Processing Group @ UFRJ, by L. W. P. Biscainho on 2018/11/15. >>
- Multitask learning for fundamental frequency estimation in music, by R. Bittner on 2018/11/06. >>
- Blind source separation based on independent low-rank matrix analysis and its extension to student’s t-distribution, by D. Kitmaura on 2017/09/04. >>
- Gaussian Framework for Interference Reduction in Live Recordings, by D. Di Carlo on 2017/04/21. >>
- Exact and Approximate Tensor Decompositions, by T. Cemgil on 2017/03/30. >>
- Development of Array Signal Processing to Asynchronous Distributed Channels, by N. Ono on 2017/02/24. >>
- AI : science, machine learning, philosphy and ethics, by M. Lagrange on 2017/01/12. >>
- The Open-MIC Project: An experiment in open, sustainable evaluation for the MIR community, by E. Humphrey on 2016/09/13. >>
- Exploring the functional organization and computational properties of human auditory cortex, by S. Norman-Haignere on 2016/09/07. >>
- Multimodal behavioral signal processing in the wild, by X. Alameda on 2016/06/06. >>
- Stochastic Quasi-Newton Langevin Monte Carlo, by U. Simsekli on 2016/05/30. >>
News
- ADASP has 4 papers accepted at ICASSP 2021, by S. Essid on 2021/02/05. >>
- New associate professor position with ADASP: machine learning for distributed/multi-view machine listening and audio content analysis, by S. Essid on 2020/12/11. >>
- Gaël Richard is Laureate of the 2020 IMT-Academie des Sciences Grand Prix on 2020/12/09. >>
- ADASP PhD student Kimia Nadjahi wins the best student paper award at ICASSP 2020 on 2020/05/05. >>
- ADASP PhD student Tom Dupé La Tour wins the best Signal, Image and Vision PhD price on 2019/06/04. >>
Job offers
- New associate professor position with ADASP: machine learning for distributed/multi-view machine listening and audio content analysis, by S. Essid on 2020/12/11. >>