A. Adler, V. Emiya, M. G. Jafari, M. Elad, R. Gribonval et al., Audio Inpainting, IEEE Transactions on Audio, Speech, and Language Processing, vol.20, issue.3, pp.922-932, 2012.
DOI : 10.1109/TASL.2011.2168211

URL : https://hal.archives-ouvertes.fr/inria-00577079

A. François and F. Patrick, Improving the readibility of time-frequency and time-scale representations by the reassignment method, IEEE Transactions on Signal Processing, vol.43, issue.5, pp.1068-1089, 1995.

D. S. Alves, P. Jouni, and F. José, Drum transcription from multichannel recordings with non-negative matrix factorization, Proc. IEEE European Signal Processing Conference (EUSIPCO'09), pp.894-898, 2009.

M. Abe and J. O. Smith, AM/FM Rate Estimation for Time-Varying Sinusoidal Modeling, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., pp.201-204, 2005.
DOI : 10.1109/ICASSP.2005.1415681

. Bar06, B. Cléo, B. Karlheinz, and B. Marina, Tatouage informé de signaux audio numériques Cité page 136 Overview of MPEG audio : Current and future standards for low bit-rate audio coding, Thèse de doctorat, pp.4-21, 1997.

B. Nancy, R. Badeau, V. M. Emmanuel, P. Betser, G. Collen et al., Enforcing harmonicity and smoothness in bayesian non-negative matrix factorization applied to polyphonic music transcription Estimation of frequency for am/fm models using the phase vocoder framework, IEEE Transactions on Audio, Speech, and Language Processing IEEE Transactions on Signal Processing, vol.18, issue.562, pp.538-549505, 2008.

. P. Bda-+-05-]-j, L. Bello, S. Daudet, C. Abdallah, M. Duxbury et al., SANDLER : A tutorial on onset detection in music signals RICHARD : High-resolution spectral analysis of mixtures of complex exponentials modulated by polynomials, IEEE Transactions on Speech and Audio Processing IEEE Transactions on Signal Processing, vol.13, issue.2, pp.1035-10471341, 2005.

B. Mert, A. F. Ehmann, J. Stephen, D. Keiji, H. George et al., Evaluation of multiple-f0 estimation and tracking systems, Proc. of the International Conference of Music Information Retrieval (ISMIR) International Society for Music Information Retrieval. 2 citations, pp.315-320, 2009.

]. K. Bfh-+-13, C. Brandenburg, J. Faller, J. D. Herre, and W. B. Johnston, KLEIJN : Perceptual coding of high-quality digital audio BLACKWELL : Conditional expectation and unbiased sequential estimationZIBULEVSKI : Underdetermined blind source separation, Proc. IEEE, pp.1905-1919105, 1947.

]. A. Bri95, Den BRINKER : Meixner-like functions having a rational z-transform, International Journal of Circuit Theory and Applications, vol.23, issue.3, pp.237-246, 1995.

C. Arturo, SWIPE : A Sawtooth Waveform Inspired Pitch Estimator for Speech and Music, Thèse de doctorat Cité page 33 [CJ10] P. COMON et C. JUTTEN : Handbook of Blind Source Separation : Independent Component Analysis and Applications, pp.38-40, 2007.

N. [. Cummiskey, J. L. Jayant, . A. Flanaganclg89-]-p, T. Chou, R. M. Lookabaugh et al., Adaptive quantization in differential pcm coding of speech Entropy-constrained vector quantization, Bell System Technical Journal IEEE Transactions on Acoustics, Speech and Signal Processing, vol.52, issue.371, pp.1105-111831, 1973.

]. M. Cos83 and . Costa, Writing on dirty paper (corresp, IEEE Transactions on Information Theory, vol.29, issue.3, pp.439-441, 1983.

D. G. Childers, D. P. Skinner, R. C. Kemeraitcw01-]-b, G. W. Chen, and . Wornell, The cepstrum : A guide to processing Quantization index modulation : a class of provably good methods for digital watermarking and information embedding KAWAHARA : YIN, a fundamental frequency estimator for speech and music Automatic extraction of tempo and beat from expressive performances, Proc. IEEE IEEE Transactions on Information Theory Journal of the Acoustical Society of America Journal of New Music Research, vol.47, issue.30, pp.651428-14431423, 1977.

M. Petar, . Djuri´cdjuri´, . Djuri´c, M. Steven, . P. Kaydlr77-]-a et al., Parameter estimation of chirp signals RUBIN : Maximum likelihood from incomplete data via the em algorithm, IEEE Transactions on Acoustics, Speech and Signal Processing Journal of the Royal Statistical Society, Series B, vol.38, issue.391, pp.2118-21261, 1977.

. Iso, International Organisation for Standartization (ISO), 2001.

]. D. Don06, DONOHO : Compressed sensing, IEEE Transactions on Information Theory, vol.52, issue.4 8, pp.1289-1306, 2006.

G. [. Dossal and . Peyré, FADILI : A numerical exploration of compressed sampling recovery, Proc. SPARS'09, 2009.

D. Zhiyao, Z. Yungang, Z. Changshui, and S. Zhenwei, Unsupervised Single-Channel Music Source Separation by Average Harmonic Structure Modeling, IEEE Transactions on Audio, Speech, and Language Processing, vol.16, issue.4, pp.766-778, 2008.
DOI : 10.1109/TASL.2008.919073

]. M. Every and J. E. Szymanski, Separation of synchronous pitched notes by spectral filtering of harmonics, Thèse de doctorat, Ecole Nationale Supérieure des Télécommunications, 37-39 rue Dareau, 75014 Paris, pp.141845-1856, 2006.
DOI : 10.1109/TSA.2005.858528

E. Tuomas and T. Petri, MIDI Toolbox : MATLAB Tools for Music Research, p.109, 2004.

V. Emiya, E. Vincent, N. Harlander, and V. Hohmann, Subjective and Objective Quality Assessment of Audio Source Separation, IEEE Transactions on Audio, Speech, and Language Processing, vol.19, issue.7, pp.2046-2057, 2011.
DOI : 10.1109/TASL.2011.2109381

URL : https://hal.archives-ouvertes.fr/inria-00567152

[. Di, F. J. Fridrich, M. Goljan, and P. Lisonek, Waveform preserving time stretching and pitch shifting for sinusoidal models of sound SOUKAL : Writing on wet paper, Proc. Digital Audio Effects Conference (DAFx'98, pp.533923-3935, 1998.

G. Hans, . Feichtinger, G. Karlheinz, and S. Thomas, Efficient numerical methods in non-uniform sampling theory Cité page 10 [Fis25] R.A. FISHER : Theory of statistical estimation, Proc. Cambridge Philos. Soc. 22, pp.423-440, 1925.

S. [. Fourer, . Marchandfm12-]-d, S. Fourer, and . Marchand, Informed spectral analysis for isolated audio source parameters estimation Cité page 152 Informed multiple-f0 estimation applied to monaural audio source separation Cité page 152 [FM13] D. FOURER et S. MARCHAND : Informed spectral analysis : audio signal parameters estimation using side information, Proc. IEEE Workshop Appl. Signal Process. Audio and Acoust. (WASPAA'11) Proc. IEEE European Signal Processing Conference (EUSIPCO'12) KLAPURI et DAVY [KD06], pp.57-60, 2011.

F. , N. F. Fletcher, and T. D. , ROSSING : The Physics of Musical Instruments, 1998.

J. [. Grosssmann, . Morletgm13-]-s, S. Gorlow, and . Marchand, Decomposition of hardy functions into square integrable wavelets of constant shape Informed audio source separation using linearly constrained spatial filters, IAM Journal of Mathematical Analysis IEEE Transactions on Audio, Speech, and Language Processing, vol.15, issue.211, pp.723-7363, 1984.

L. Girin, S. Marchand, J. Di, M. , A. Robel et al., Comparing the order of a polynomial phase model for the synthesis of quasiharmonic audio signals, Proc. IEEE Workshop Appl. Signal Process. Audio and Acoust. (WASPAA'03), pp.193-196, 2003.
URL : https://hal.archives-ouvertes.fr/hal-00308296

]. L. Gmai, S. Girin, . M. Marchandgn98-]-r, D. L. Gray, and . Neuhoff, Watermarking of speech signals using the sinusoidal model and frequency modulation of the partials, Proc. IEEE International Conference on Acoust., Speech and Signal Process, pp.633-62325, 1993.

G. [. Gillet, . Richardgr13-]-s, and J. D. Gorlow, Transcription and Separation of Drum Signals From Polyphonic Music, IEEE Transactions on Audio, Speech, and Language Processing, vol.16, issue.3, pp.529-5401434, 2008.
DOI : 10.1109/TASL.2007.914120

R. M. Gray, Source coding theory, 1989.
DOI : 10.1007/978-1-4613-1643-5

P. [. Ganseman, G. J. Scheunders, J. S. Mysore, and . Abel, Evaluation of a score-informed source separation system, Proc. of the International Conference of Music Information Retrieval (ISMIR), pp.219-224, 2010.

S. Webley and H. , Techniques for the Automated Analysis of Musical Audio Thèse de doctorat, University of Cambridge, UK, septembre 2004 Cité page 106 [Hai06] Stephen HAINSWORTH : Beat tracking and musical metre analysis, KLA- PURI et DAVY [KD06], pp.101-129

]. P. Han03 and . Hanna, Statistical modeling of noisy sounds, Thèse de doctorat, pp.15-27, 2003.

H. Perfecto, K. Anssi, and D. Manuel, Automatic classification of pitched musical instruments sounds, KLAPURI et DAVY [KD06], pp.101-129

S. [. Herre, . Dischhdb11-]-r, B. Hennequin, R. David, and . Badeau, New Concepts in Parametric Coding of Spatial Audio: From SAC to SAOC, Multimedia and Expo, 2007 IEEE International Conference on, pp.1894-1897, 2007.
DOI : 10.1109/ICME.2007.4285045

H. , R. B. Ning, H. , D. , G. Tzanetakishk06-]-r et al., Polyphonic audio matching and alignment for music retrieval Cité page 35 KOLLMEIER : Pemo-q. a new method for objective audio quality assessment using a model of auditory perception Cité page 45 [Huf52] D.A. HUFFMAN : A method for the construction of minimum-redundancy codes, Proc. IEEE International Conference on Acoust., Speech and Signal Process Proc. IEEE Workshop Appl. Signal Process. Audio and Acoust. (WASPAA'03) Proc. IRE Cité page 59 [Idi01] J. IDIER : Approche bayésienne pour les problèmes inverses. Hermès -Lavoisier, 1 re édition édition, janvier 2001. Cité page 38 [Jol02] L. T. JOLLIFFE : Principal Component Analysis, pp.45-48, 1952.

S. [. Jourjine, O. Rickard, and . Yilmaz, Blind separation of disjoint orthogonal signals : demixing n sources from 2 mixtures Auditory scene analysis in music signals, Proc. IEEE International Conference on Acoust., Speech and Signal Process KLAPURI et DAVY [KD06], pp.2985-2988, 2000.

K. Anssi and D. Manuel, Signal Processing Methods for Music Transcription, 2006.

K. Kunihiko, C. De, V. Roger, and G. , A new method for the numerical analysis of non-stationary signals, Physics of the Earth and Planetary Interiors, vol.12, issue.2, pp.142-150, 1976.

K. Kunihiko, G. Roger, C. De, and V. , Analysis of time-varying signals with small bt values, IEEE Transactions on Acoustics, Speech and Signal Processing, vol.26, issue.1, pp.64-76, 1978.

K. Samuel, . Normanl, . K. Johnson, J. Korten, R. Jensen et al., Breakthroughs in Statistics Springer Series in Statistics High-resolution spherical quantization of sinusoidal parameters, IEEE Transactions on Audio , Speech, and Language Processing, vol.15, issue.3, pp.966-981, 1992.

K. H. Knuth, Informed source separation : A bayesian tutorial

K. P. Keegan, S. K. Tjoa, and K. J. Liu, Super-resolution of musical signals using approximate matching pursuit, 2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), pp.40-135, 2005.
DOI : 10.1109/ASPAA.2011.6082340

U. [. Keiler and . Zölzer, Extracting Sinusoids from Harmonic Signals, Journal of New Music Research, vol.30, issue.3, pp.243-258, 2001.
DOI : 10.1076/jnmr.30.3.243.7477

]. J. Lar01 and . Laroche, Estimating tempo, swing and beat locations in audio recordings, Proc. IEEE Workshop Appl. Signal Process. Audio and Acoust. (WAS- PAA'01), pp.135-138, 2001.

L. Mathieu, B. Roland, D. Bertrand, B. Nancy, E. Jose et al., The DESAM toolbox : spectral analysis of musical audio An algorithm for vector quantizer design Gaussian processes for underdetermined source separation, Proc. Digital Audio Effects Conf. (DAFx'10), pp.254-26184, 1980.

L. Shu, J. Daniel, . Costellold08-]-b, L. Lachaise, and . Daudet, Error Control Coding : Fundamentals and Applications Inverting dynamics compression with minimal side information, Proc. Digital Audio Effects Conf. (DAFx'08), pp.97-102, 1983.

L. Yi-wen, Sound source segregation assisted by audio watermarking, Multimedia and Expo IEEE International Conference on, pp.200-203, 2007.

]. S. Llo82 and . Lloyd, Least squares quantization in pcm, IEEE Transactions on Information Theory, vol.28, issue.2 2, pp.129-137, 1982.

]. M. Lmr04a, S. Lagrange, J. B. Marchand, S. Lagrange, J. B. Marchand et al., RAULT : Partial tracking based on future trajectories exploration Cité page 29 RAULT : Using linear prediction to enhance the tracking of partials A spectral autocorrelation method for measurement of the fundamental frequency of noise-corrupted speech, 116-th Convention of the Audio Engineering Society (AES) Proc. IEEE International Conference on Acoust., Speech and Signal Process, pp.241-244, 1987.

]. A. Lpb-+-11, J. Liuktus, R. Pinel, L. Badeau, G. Girin et al., Informed source separation through spectrogram coding and data embedding, Signal Processing

D. Daniel, H. Lee, and S. Sebastian, Learning the parts of objects by non-negative matrix factorization, Nature, vol.401, issue.6755, pp.788-791, 1999.

D. Daniel, H. Lee, and S. Sebastian, Cité page 16 [Mar98] Sylvain MARCHAND : Improving spectral analysis precision with an enhanced phase vocoder using signal derivatives Cité page 27 [Mar00] Sylvain MARCHAND : Sound Models for Computer Music (analysis, transformation , synthesis) Thèse de doctorat Cité page 16 [Mar01] Farokh MARVASTI : Nonuniform Sampling : Theory and Practice (Information Technology : Transmission, Processing and Storage) MAROLT : A connectionist approach to automatic transcription of polyphonic piano music, Proc. of Neural Information Processing Systems (NIPS) Proc. Digital Audio Effects Conf. (DAFx'98), pp.556-562, 1998.

M. S. Sylvain, J. Musevic, and . Bonada, The simplest analysis method for non-stationary sinusoidal modeling Cité page 29 [Mar12b] Benjamin MARTIN : Analyse de structures répétitives dans les séquences musicales Comparison of non-stationary sinusoid estimation methods using reassignment and derivatives, Proc. Digital Audio Effects Conf. (DAFx'12) Thèse de doctorat Proc. Sound and Music Computing Conference (SMC'10), juillet 2010. Cité page 77 [McM56] B. MCMILLAN : Two inequalities implied by unique decipherability. IRE Transactions on Information Theory, pp.23-26115, 1956.

W. Guy, . Mcnallymd08-]-s, P. S. Marchand, D. Marchand, and . Fourer, DEPALLE : Generalization of the derivative analysis method to non-stationary sinusoidal modeling Breaking the bounds : introducing informed spectral analysis, Proc. Digital Audio Effects Conference (DAFx'08) Proc. Digital Audio Effects Conf. (DAFx'10), pp.316-327, 1984.

B. [. Moore, . Glasbergmhm06-]-g, P. Meurisse, S. Hanna, and . Marchand, Suggested formulae for calculating auditory???filter bandwidths and excitation patterns, Proc. Digital Audio Effects Conf. (DAFx'06), pp.750-753, 1983.
DOI : 10.1121/1.389861

A. Robert, MOOG : MIDI : Musical instrument digital interface, Journal of the Audio Engineering Society, vol.34, issue.5 2, pp.394-404, 1986.

T. [. Mcaulay and . Quatieri, Speech analysis/Synthesis based on a sinusoidal representation, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.34, issue.4, pp.744-754, 1986.
DOI : 10.1109/TASSP.1986.1164910

R. [. Mcintyre, J. Schumacher, . Woodhousemv09-]-s, A. Marchand, . G. Vialardmz93-]-s et al., On the oscillations of musical instruments Cité page 32 The hough transform for binaural source localization Matching pursuits with time-frequency dictionaries, Proc. Digital Audio Effects Conf. (DAFx'09), pp.1325-1345, 1983.

]. A. Nol67, . C. Nollpa02-]-l, C. V. Parra, and . Alvino, Cepstrum pitch determination Cité page 34 Geometric source separation : merging convolutive source separation with geometric beamforming, PC08] Sunho PARK et Seungjin CHOI : Gaussian processes for source separation, pp.293-309352, 1967.

E. Graham, . Poliner, P. W. Daniel, and . Ellis, A discriminative model for polyphonic piano transcription, Journal on Advances in Signal Processing, 2006.

M. Parvaix and L. Girin, Informed Source Separation of Linear Instantaneous Under-Determined Audio Mixtures by Source Index Embedding, IEEE Transactions on Audio, Speech, and Language Processing, vol.19, issue.6, pp.1721-1733, 2011.
DOI : 10.1109/TASL.2010.2097250

URL : https://hal.archives-ouvertes.fr/hal-00695763

L. [. Parvaix, J. Girin, and . Brossier, A watermarking-based method for single-channel audio source separation, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.101-104, 2009.
DOI : 10.1109/ICASSP.2009.4959530

URL : https://hal.archives-ouvertes.fr/hal-00361713

L. [. Pinel, C. Girin, and . Baras, PARVAIX : A high-capacity watermarking technique for audio signals based on MDCT-domain quantization, Int. Congress on Acoustics, 2010.

P. Aliaksandr, H. Hadi, and C. Liming, Use of continuous wavelet-like transform in automated music transcription, Proc. IEEE European Signal Processing Conference (EUSIPCO'06), septembre 2006, pp.14-179

]. R. Pla50, . Plackettpm00-]-h, N. Purnhagen, and . Meine, Some theorems in least squares Cité page 52 HILN ? the MPEG-4 parametric audio coding tools Speech and Signal Process SPANIAS : Perceptual coding of digital audio, Proc. IEEE International Conference on Acoust Proc. IEEE Cité page 93 [Rao45] Radhakrishna C. RAO : Information and the accuracy attainable in the estimation of statistical parameters, pp.201-204451, 1945.

D. [. Ravuri and . Ellis, Cover song detection: From high scores to general classification, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.65-68, 2010.
DOI : 10.1109/ICASSP.2010.5496214

M. Raspaud and S. Marchand, Enhanced resampling for sinusoidal modeling parameters Cité page 23 [Roa96] Curtis ROADS : The Computer Music Tutorial, Proc. IEEE Workshop Appl. Signal Process. Audio and Acoust. (WASPAA'07), pp.327-330, 1996.

R. Axel, Estimating partial frequency and frequency slope using reassignment operators, International Computer Music Conference, pp.122-125, 2002.

R. Thomas, R. Matthias, H. Pierre, O. S. Laurent, G. Reed et al., Polynomial codes over certain finite fields ALLEBACH : Iterative reconstruction of bandlimited images from nonuniformly spaced samples, Proc. of the International Society on Music Information Retrieval (ISMIR), pp.141-146300, 1960.

]. K. Say06, . Sayoodsb03-]-p, J. C. Smaragdis, . Sd13-]-n, L. Sturmel et al., Introduction to data compression BROWN : Non-negative matrix factorization for polyphonic music transcription Informed source separation using iterative reconstruction, Proc. IEEE Workshop Appl. Signal Process. Audio and Acoust. (WASPAA'03) Cité page 67 [Sha48] C. E. SHANNON : A mathematical theory of communication. Bell System Technical Journal, pp.59-86, 2003.

]. C. Sha49 and . Shannon, Communications in the presence of noise, Proc. IRE, pp.10-21

]. C. Sha59 and . Shannon, Coding theorems for a discrete source with a fidelity criterion, IRE National Convention Record, vol.4, pp.142-163, 1959.

. Slp-+-12-]-n, A. Sturmel, J. Liutkus, L. Pinel, S. Girin et al., Linear mixing models for active listening of music productions in realistic studio conditions Recursively indexed quantization of memoryless sources, Proc. 132nd AES Convention, page Paper number : 8594, pp.1602-1609, 1992.

]. E. Sodbb03, W. Schuijers, B. Oomen, J. Breebaartsrms06-]-p, B. Smaragdis et al., Advances in parametric coding for high quality audio In Audio Engineering Society 114th Convention, Amsterdam, Pays-Bas SHASHANKA : Supervised and semi-supervised separation of sounds from single-channel mixtures, 7th International Conference on Independent Component Analysis and Signal Separation (ICA), pp.15-61, 2003.

S. Julius and S. Xavier, PARSHL an analysis/synthesis program for non-harmonic sounds based on a sinusoidal representation, International Computer Music Conference, pp.290-297, 1987.

M. [. Sattar, L. C. Siyal, L. C. Wee, and . Yen, Blind source separation of audio signals using improved ICA method, Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing (Cat. No.01TH8563), pp.452-455
DOI : 10.1109/SSP.2001.955320

S. S. Thomas, J. Smith, B. E. Volkman, . Newmansw73-]-d, J. K. Slepian et al., Digital Object Identifier 10.1109/83 Cité page 10 A scale for the measurement of the psychological magnitude pitch WOLF : Noiseless coding of correlated information sources Spectral centroid and timbre in complex, multiple instrumental textures, Proc. of the 8th International Conference on Music Perception & Cognition (ICMPC), pp.540-548185, 1937.

T. , G. Torelli, G. H. Caironi, T. Takeda, S. Nishimoto et al., New polyphonic sound generator chip with integrated microprocessor-programmable adsr envelope shaper Rhythm and tempo recognition of music performance from a probabilistic approach Beamforming : a versatile approach to spatial filtering, Speech coding and synthesis, chapitre A Robust Algorithm for Pitch Tracking Proc. of the International Conference of Music Information Retrieval (ISMIR), pp.203-212, 1983.

V. Harald and E. Gianpaolo, On the use of spatial cues to improve binaural source separation Cité page 42 [Ver10] S. VERDU : Mismatched estimation and relative entropy, Proc. Digital Audio Effects Conf. (DAFx'02), pp.209-213, 2002.

R. [. Vincent, C. Gribonval, and . Févotte, Performance measurement in blind audio source separation, KLAPURI et DAVY [KD06], pp.1462-1469, 2006.
DOI : 10.1109/TSA.2005.858005

URL : https://hal.archives-ouvertes.fr/inria-00544230

V. , T. S. Verma, and T. H. , MENG : A 6kbps to 85kbps scalable audio coder : On the function which are, Cité page 40 Proc. IEEE International Conference on Acoust., Speech and Signal Process Proc. of the Edinburgh Mathematical Society, pp.877-880, 1928.

]. J. Whi35 and . Whittaker, Interpolatory function theory, 1935.

J. [. Wyner and . Ziv, The rate-distortion function for source coding with side information at the decoder, Thèse de doctorat, pp.1-10, 1976.
DOI : 10.1109/TIT.1976.1055508

S. [. Yilmaz, . Rickardyr06-]-c, A. Yeh, and . Roebel, Blind Separation of Speech Mixtures via Time-Frequency Masking, Proc. Digital Audio Effects Conf. (DAFx'06), septembre 2006. 2 citations pages, pp.1830-1847, 2004.
DOI : 10.1109/TSP.2004.828896

A. [. Yeh and . Roebel, The expected amplitude of overlapping partials of harmonic sounds, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.3169-3172, 2009.
DOI : 10.1109/ICASSP.2009.4960297

URL : https://hal.archives-ouvertes.fr/hal-01161312

C. Yeh, A. Roebel, and X. Rodet, Cité page 102 Multiple fundamental frequency estimation and polyphony inference of polyphonic music signals, Proc. of the International Conference of Music Information Retrieval (ISMIR), pp.181116-1126, 2010.

Z. G. Gilles, G. Zhou, A. Giannakis, . Swamizl77-]-j, and . Ziv, Cité page 54 On polynomial phase signal with time-varying amplitudes LEMPEL : A universal algorithm for sequential data compression, Cité page 60 [Zwi61] E. ZWICKER : Subdivision of the audible frequency range into critical bands, pp.848-860337, 1961.

M. Histogramme-du and .. , de la représentation binaire de la valeur absolue de l'erreur d'estimation utilisant la méthode de réallocation appliquée au signal mélangé avec un bruit blanc additif. Le premier indice non nul augmente en même temps que le SNR, le nombre de bits à corriger pour retrouver le paramètre de référence est donc plus faible lorsque, p.81

]. Schéma-descriptif-de-la-méthode-dn, estimation F 0 multiple proposée permettant d'estimer un ensemblê ?[n] de candidats F 0 actifs à un instant n à partir d'un signal de mélange discret x, p.104

L. Valeur-de, écart d h pour un son sinusoïdal harmonique composé de 30 partiels d'amplitude égale, p.111

.. -measure, Recall et F-Measure obtenus pour l'estimation F 0 multiple en utilisant les méthodes proposées. Les résultats sont triés par ordre décroissant de F, Comparaison des scores Accuracy, p.119

.. Et-de-la-borne-de-shannon, SLB et ECUSQ) et pratiques (codage pur ECUSQ, estimation aveugle et estimation informée)L'estimation informée combine un estimateur avec le même débit que pour le codage pur. On remarque que combiner un estimateur avec de l'information permet d'obtenir une distorsion plus faible que la distorsion théorique de ECUSQ, A.2 Comparatif des distorsions théoriques, p.161

E. Comparaison-entre-la-borne-de-shannon-et-la-borne, Comme attendu, la distorsion moyenne théorique de la méthode ECUSQ est supérieure à la distorsion Shannon. La différence moyenne mesurée est d'environ 2, p.162