Dr Emmanuel Vincent

Contact Details

I have moved. For my new web page, please go to:

• http://www.irisa.fr/metiss/members/evincent/

Old information:

Research Group: Centre for Digital Music

Research Project: Object-Based Coding of Musical Audio

Current coding systems for musical audio tend to use transform coding or filterbanks, with bit allocation determined by psychophysical masking thresholds. A recent alternative approach is to decompose the signal Into a parametric encoding, consisting for example of sinusoids+noise or tonals+transients+residuals. In this project, we will develop a methodology for audio coding using higher-level "sound objects", consisting of Individual notes or chords played by particular instruments. From a top-down direction, this will be based on our expertise on automatic music transcription. We will explore a range of alternative approaches using different levels of Information, down to sparse coding methods for grouping of low-level parametric coding objects. We will Initially investigate coding of simple monophonic (single-voice) musical audio, extending this work to single-instrument and smallgroup polyphonic musical audio as the project progresses. We will use MPEG-4 Structured Audio as our primary encoding format. While full objectbased coding of complex polyphonic audio scenes (such as a symphony orchestra) is still a long way off, this project is a first step towards this Important long-term goal.

Publications

C. Sutton, E. Vincent, M. D. Plumbley and J. P. Bello. Transcription of vocal melodies using voice characteristics and algorithm fusion. In Proc. Music Information Retrieval Evaluation eXchange (MIREX), 2006

E. Vincent and M. D. Plumbley. Low Bitrate Object Coding of Musical Audio using Bayesian Harmonic Models. To appear in IEEE Transactions on Audio, Speech and Lanauge Processing.
[Sound examples]

M. G. Jafari, E. Vincent, S. A. Abdallah, M. D. Plumbley and M. E. Davies. Blind source separation of convolutive audio using an adaptive stereo basis. In: A K Nandi and X Zhu (eds.), Proceedings of the ICA Research Network International Workshop, Liverpool, UK, 18-19 Sept 2006, pp 105-108, 2006. ISBN 0 906370 44 2.

E. Vincent, M. G. Jafari and M. D. Plumbley. Preliminary guidelines for subjective evalutation of audio source separation algorithms. E. Vincent, M. G. Jafari and M. D. Plumbley. Preliminary guidelines for subjective evalutation of audio source separation algorithms. In: A K Nandi and X Zhu (eds.), Proceedings of the ICA Research Network International Workshop, Liverpool, UK, 18-19 Sept 2006, pp 93-96, 2006. ISBN 0 906370 44 2.

M. G. Jafari, E. Vincent, S. A. Abdallah, M. D. Plumbley and M. E. Davies. An adaptive stereo basis method for convolutive blind audio source separation. Technical Report C4DM-TR-06-04, Centre for Digital Music, Queen Mary University of London, 9 August 2006.

E. Vincent and M. D. Plumbley. Fast factorization-based inference for Bayesian harmonic models. In Proceedings of the 2006 IEEE International Workshop on Machine Learning for Signal Processing, Maynooth, Ireland, September 6-8, 2006.

E. Vincent, R. Gribonval and M. D. Plumbley. Oracle Estimators for the Benchmarking of Source Separation Algorithms. Technical Report C4DM-TR-06-03, Queen Mary, University of London. 28 July 2006.
[Download: pdf (500k)]

E. Vincent and M. D. Plumbley. Single-Channel Mixture Decomposition Using Bayesian Harmonic Models. In Proceedings of the 6th International Conference on Independent Component Analysis and Blind Source Separation (ICA 2006), Charleston, SC, USA, 5-8 March 2006, LNCS 3889, pp 722-730. Springer-Verlag, Berlin, 2006.
[Sound examples]

M. D. Plumbley, S. A. Abdallah, T. Blumensath, M. G. Jafari, A. Nesbit, E. Vincent and B. Wang. Musical audio analysis using sparse representations. IIn COMPSTAT 2006 Proceedings in Computational Statistics, Rome, Italy, pp 104-117. Physical-Verlag, 2006.

E. Vincent, M. G. Jafari, S. A. Abdallah, M D. Plumbley and M. E. Davies. Blind Audio Source Separation. Technical Report C4DM-TR-05-01. Centre for Digital Music, Queen Mary University of London, 24 November 2005

E. Vincent and M. D. Plumbley. Predominant-F0 estimation using Bayesian harmonic waveform models. In Proc. MIREX, 2005.

J.S. Downie, K. West, A. Ehmann and E. Vincent. The 2005 Music Information Retrieval Evaluation eXchange (MIREX 2005): Preliminary overview. In Proc. 6th International Conference on Music Information Retrieval (ISMIR), 2005.

E. Vincent and M. D. Plumbley. A prototype system for object coding of musical audio. In Proceedings of the 2005 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 05), 2005.
[Sound examples]

[For pdfs and sound examples for the papers below, see also: http://recherche.ircam.fr/equipes/analyse-synthese/vincent/]

E. Vincent. Musical source separation using time-frequency source priors. To be published in IEEE Transactions on Speech and Audio Processing, special issue on Statistical and Perceptual Audio Processing, 2005.
[Sound examples]

E. Vincent, R. Gribonval and C. Févotte. Performance measurement in blind audio source separation. To be published in IEEE Transactions on Speech and Audio Processing, 2005.
[Sound examples]

E. Vincent and R. Gribonval. Construction d'estimateurs oracles pour la séparation de sources. In Proc. 20th GRETSI Symposium on Signal and Image Processing, 2005.

C. Févotte, R. Gribonval, and E. Vincent. BSS_EVAL Toolbox User Guide. Technical report N° 1706, IRISA, 2005.

E. Vincent. Modèles d'instruments pour la séparation de sources et la transcription d'enregistrements musicaux. PhD thesis, Université Paris VI, 2004.
[Sound examples]

E. Vincent and X. Rodet. Instrument identification in solo and ensemble music using Independent Subspace Analysis. In Proc. 5th International Conference on Music Information Retrieval (ISMIR), 2004.

E. Vincent and X. Rodet. Underdetermined source separation with structured source priors. In Proc. 5th International Conference on Independent Component Analysis and Blind Signal Separation (ICA), 2004.
[Sound examples]

E. Vincent and X. Rodet. Music transcription with ISA and HMM. In Proc. 5th International Conference on Independent Component Analysis and Blind Signal Separation (ICA), 2004.

E. Vincent, C. Févotte, and R. Gribonval. Comment évaluer les algorithmes de séparation de sources audio?. In Proc. 19th GRETSI Symposium on Signal and Image Processing, 2003. Invited paper, special session on Applications of Independent Component Analysis and Source Separation.

E. Vincent, C. Févotte, R. Gribonval et al. A tentative typology of audio source separation tasks. In Proc. 4th International Conference on Independent Component Analysis and Blind Signal Separation (ICA), 2003.

R. Gribonval, L. Benaroya, E. Vincent and C. Févotte. Proposals for performance measurement in source separation. In Proc. 5th International Conference on Independent Component Analysis and Blind Signal Separation (ICA), 2003.

E. Vincent. Séparation de signaux audio : principes statistiques de l'analyse en composantes indépendantes et applications au signal monophonique. MSc thesis, DEA ATIAM, 2001.

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