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Bibliography

Major publications by the team in recent years
  • 1S. Arberet.

    Estimation robuste et apprentissage aveugle de modèles pour la séparation de sources sonores, Université de Rennes I, december 2008.
  • 2L. Borup, R. Gribonval, M. Nielsen.

    Beyond coherence : recovering structured time-frequency representations, in: Appl. Comput. Harmon. Anal., 2008, vol. 24, no 1, p. 120–128.
  • 3M. E. Davies, R. Gribonval.

    On Lp minimisation, instance optimality, and restricted isometry constants for sparse approximation, in: Proc. SAMPTA'09 (Sampling Theory and Applications), Marseille, France, may 2009.
  • 4M. E. Davies, R. Gribonval.

    Restricted Isometry Constants where _ell p sparse recovery can fail for 0<p1, in: IEEE Trans. Inform. Theory, May 2009, vol. 55, no 5, p. 2203–2214.
  • 5M. E. Davies, R. Gribonval.

    The Restricted Isometry Property and _ell p sparse recovery failure, in: Proc. SPARS'09 (Signal Processing with Adaptive Sparse Structured Representations), Saint-Malo, France, April 2009.
  • 6S. Galliano, E. Geoffrois, D. Mostefa, K. Choukri, J.-F. Bonastre, G. Gravier.

    The ESTER Phase II Evaluation Campaign for the Rich Transcription of French Broadcast News, in: European Conference on Speech Communication and Technology, 2005.
  • 7R. Gribonval, R. M. Figueras i Ventura, P. Vandergheynst.

    A simple test to check the optimality of sparse signal approximations, in: EURASIP Signal Processing, special issue on Sparse Approximations in Signal and Image Processing, March 2006, vol. 86, no 3, p. 496–510.
  • 8R. Gribonval.

    Sur quelques problèmes mathématiques de modélisation parcimonieuse, Université de Rennes I, octobre 2007, Habilitation à Diriger des Recherches, spécialité “Mathématiques”.
  • 9R. Gribonval, M. Nielsen.

    On approximation with spline generated framelets, in: Constructive Approx., January 2004, vol. 20, no 2, p. 207–232.
  • 10R. Gribonval, M. Nielsen.

    Beyond sparsity : recovering structured representations by 1 -minimization and greedy algorithms, in: Advances in Computational Mathematics, January 2008, vol. 28, no 1, p. 23–41.
  • 11R. Gribonval, H. Rauhut, K. Schnass, P. Vandergheynst.

    Atoms of all channels, unite! Average case analysis of multi-channel sparse recovery using greedy algorithms, in: J. Fourier Anal. Appl., December 2008, vol. 14, no 5, p. 655–687.
  • 12R. Gribonval, K. Schnass.

    Dictionary identifiability from few training samples, in: Proc. European Conf. on Signal Processing - EUSIPCO, August 2008.
  • 13R. Gribonval, K. Schnass.

    Some recovery conditions for basis learning by l1-minimization, in: 3rd IEEE International Symposium on Communications, Control and Signal Processing - ISCCSP 2008, March 2008, p. 768–773.
  • 14R. Gribonval, P. Vandergheynst.

    On the exponential convergence of Matching Pursuits in quasi-incoherent dictionaries, in: IEEE Trans. Information Theory, January 2006, vol. 52, no 1, p. 255–261.

    http://dx.doi.org/10.1109/TIT.2005.860474
  • 15R. Gribonval, K. Schnass.

    Dictionary Identifiability - Sparse Matrix-Factorisation via 1 minimisation, in: IEEE Trans. Information Theory, jul 2010, vol. 56, no 7, p. 3523–3539.
  • 16D. K. Hammond, P. Vandergheynst, R. Gribonval.

    Wavelets on Graphs via Spectral Graph Theory, in: Applied and Computational Harmonic Analysis, 2010, submitted.
  • 17S. Huet, G. Gravier, P. Sébillot.

    Un modèle multi-sources pour la segmentation en sujets de journaux radiophoniques, in: Proc. Traitement Automatique des Langues Naturelles, 2008, p. 49–58.
  • 18E. Kijak, G. Gravier, L. Oisel, P. Gros.

    Audiovisual integration for tennis broadcast structuring, in: Multimedia Tools and Application, 2006, vol. 30, no 3, p. 289–312.
  • 19B. Mailhé, R. Gribonval, F. Bimbot, P. Vandergheynst.

    LocOMP: algorithme localement orthogonal pour l'approximation parcimonieuse rapide de signaux longs sur des dictionnaires locaux, in: Proc. GRETSI, Septembre 2009.
  • 20B. Mailhé, R. Gribonval, P. Vandergheynst, F. Bimbot.

    A low–complexity Orthogonal Matching Pursuit for Sparse Signal Approximation with Shift–Invariant Dictionaries, in: Proc. IEEE ICASSP, April 2009.
  • 21B. Mailhé, S. Lesage, R. Gribonval, P. Vandergheynst, F. Bimbot.

    Shift–invariant dictionary learning for sparse representations : extending K–SVD, in: Proc. European Conf. on Signal Processing - EUSIPCO, August 2008.
  • 22B. Mailhé, R. Gribonval, P. Vandergheynst, F. Bimbot.

    Fast orthogonal sparse approximation algorithms over local dictionaries, Inria, feb 2010.

    http://hal.archives-ouvertes.fr/hal-00460558/PDF/LocOMP.pdf
  • 23A. Ozerov, P. Philippe, F. Bimbot, R. Gribonval.

    Adaptation of Bayesian models for single channel source separation and its application to voice / music separation in popular songs, in: IEEE Trans. Audio, Speech and Language Processing, juillet 2007, vol. 15, no 5, p. 1564–1578.
  • 24A. Rosenberg, F. Bimbot, S. Parthasarathy.

    36, in: Overview of Speaker Recognition, Springer, 2008, p. 725–741.
  • 25K. Schnass, R. Gribonval.

    Basis Identification from Random Sparse Samples, in: Proc. SPARS'09 (Signal Processing with Adaptive Sparse Structured Representations), Saint-Malo, France, April 2009.
  • 26P. Sudhakar, R. Gribonval.

    A sparsity-based method to solve the permutation indeterminacy in frequency domain convolutive blind source separation, in: ICA 2009, 8th International Conference on Independent Component Analysis and Signal Separation, Paraty, Brazil, March 2009.
  • 27P. Sudhakar, R. Gribonval.

    Sparse filter models for solving permutation indeterminacy in convolutive blind source separation, in: Proc. SPARS'09 (Signal Processing with Adaptive Sparse Structured Representations), Saint-Malo, France, April 2009.
  • 28E. Vincent, R. Gribonval, C. Févotte.

    Performance measurement in Blind Audio Source Separation, in: IEEE Trans. Speech, Audio and Language Processing, 2006, vol. 14, no 4, p. 1462–1469.

    http://dx.doi.org/10.1109/TSA.2005.858005
  • 29E. Vincent, M. Plumbley.

    Low bitrate object coding of musical audio using bayesian harmonic models, in: IEEE Trans. on Audio, Speech and Language Processing, 2007, vol. 15, no 4, p. 1273–1282.
Publications of the year

Doctoral Dissertations and Habilitation Theses

  • 30N. Ito.

    Robust microphone array signal processing against diffuse noise, University of Tokyo, January 2012.

    http://hal.inria.fr/tel-00691931
  • 31E. Vincent.

    Contributions à la séparation de sources et à la description des contenus audio, Université Rennes 1, November 2012, Habilitation à Diriger des Recherches.

    http://hal.inria.fr/tel-00758517

Articles in International Peer-Reviewed Journals

  • 32K. Adiloglu, A. Robert, W. Elio, P. Hendrik, O. Klaus.

    A Graphical Representation and Dissimilarity Measure for Basic Everyday Sound Events, in: IEEE Transactions on Audio, Speech and Language Processing, January 2012, vol. 20, no 5, p. 1542-1552.

    http://hal.inria.fr/hal-00684620
  • 33A. Adler, V. Emiya, M. Jafari, M. Elad, R. Gribonval, M. D. Plumbley.

    Audio Inpainting, in: IEEE Transactions on Audio, Speech and Language Processing, March 2012, vol. 20, no 3, p. 922 - 932. [ DOI : 10.1109/TASL.2011.2168211 ]

    http://hal.inria.fr/inria-00577079
  • 34S. Arberet, A. Ozerov, F. Bimbot, R. Gribonval.

    A tractable framework for estimating and combining spectral source models for audio source separation, in: Signal Processing, August 2012, vol. 92, no 8, p. 1886-1901.

    http://hal.inria.fr/hal-00694071
  • 35J. Barker, E. Vincent.

    Special Issue on Speech Separation and Recognition in Multisource Environments, in: Computer Speech and Language, October 2012.

    http://hal.inria.fr/hal-00743532
  • 36J. Barker, E. Vincent, N. Ma, H. Christensen, P. Green.

    The PASCAL CHiME Speech Separation and Recognition Challenge, in: Computer Speech and Language, October 2012.

    http://hal.inria.fr/hal-00743529
  • 37C. Blandin, A. Ozerov, E. Vincent.

    Multi-source TDOA estimation in reverberant audio using angular spectra and clustering, in: Signal Processing, March 2012, vol. 92, p. 1950-1960, Revised version including minor corrections in equations (17), (18) and Figure 1 compared to the version published by Elsevier. [ DOI : 10.1016/j.sigpro.2011.10.032 ]

    http://hal.inria.fr/inria-00630994
  • 38G. Chardon, L. Daudet, A. Peillot, F. Ollivier, N. Bertin, R. Gribonval.

    Nearfield Acoustic Holography using sparsity and compressive sampling principles, in: Journal of the Acoustical Society of America, 2012, Code & data for reproducing the main figures of this paper are available at http://echange.inria.fr/nah.

    http://hal.inria.fr/hal-00720129
  • 39R. Gribonval, V. Cevher, M. Davies.

    Compressible Distributions for High-dimensional Statistics, in: IEEE Transactions on Information Theory, 2012, Was previously entitled "Compressible priors for high-dimensional statistics". [ DOI : 10.1109/TIT.2012.2197174 ]

    http://hal.inria.fr/inria-00563207
  • 40J. Le Roux, E. Vincent.

    Consistent Wiener filtering for audio source separation, in: IEEE Signal Processing Letters, October 2012.

    http://hal.inria.fr/hal-00742687
  • 41A. Muscariello, F. Bimbot, G. Gravier.

    Unsupervised Motif Acquisition in Speech via Seeded Discovery and Template Matching Combination, in: IEEE Transactions on Audio, Speech and Language Processing, September 2012, vol. 20, no 7, p. 2031 - 2044. [ DOI : 10.1109/TASL.2012.2194283 ]

    http://hal.inria.fr/hal-00740978
  • 42S. Nam, M. E. Davies, M. Elad, R. Gribonval.

    The Cosparse Analysis Model and Algorithms, in: Applied and Computational Harmonic Analysis, 2012, Preprint available on arXiv since 24 Jun 2011. [ DOI : 10.1016/j.acha.2012.03.006 ]

    http://hal.inria.fr/inria-00602205
  • 43A. Ozerov, M. Lagrange, E. Vincent.

    Uncertainty-based learning of acoustic models from noisy data, in: Computer Speech and Language, July 2012.

    http://hal.inria.fr/hal-00717992
  • 44A. Ozerov, E. Vincent, F. Bimbot.

    A General Flexible Framework for the Handling of Prior Information in Audio Source Separation, in: IEEE Transactions on Audio, Speech and Language Processing, May 2012, vol. 20, no 4, p. 1118 - 1133, 16.

    http://hal.inria.fr/hal-00626962
  • 45G. Puy, P. Vandergheynst, R. Gribonval, Y. Wiaux.

    Universal and efficient compressed sensing by spread spectrum and application to realistic Fourier imaging techniques, in: EURASIP Journal on Advances in Signal Processing, 2012. [ DOI : 10.1186/1687-6180-2012-6 ]

    http://hal.inria.fr/inria-00582432
  • 46V. Vigneron, V. Zarzoso, R. Gribonval, E. Vincent.

    Latent variable analysis and signal separation, in: Signal Processing, January 2012, vol. 92, p. 1765-1766. [ DOI : 10.1016/j.sigpro.2012.01.001 ]

    http://hal.inria.fr/hal-00658459
  • 47E. Vincent, S. Araki, F. J. Theis, G. Nolte, P. Bofill, H. Sawada, A. Ozerov, B. V. Gowreesunker, D. Lutter, N. Duong.

    The Signal Separation Evaluation Campaign (2007-2010): Achievements and Remaining Challenges, in: Signal Processing, March 2012, vol. 92, p. 1928-1936. [ DOI : 10.1016/j.sigpro.2011.10.007 ]

    http://hal.inria.fr/inria-00630985

Invited Conferences

  • 48R. F. Astudillo, E. Vincent, L. Deng.

    Uncertainty handling for environment-robust speech recognition, in: Interspeech, Portland, États-Unis, September 2012.

    http://hal.inria.fr/hal-00664091
  • 49E. Vincent.

    Advances in audio source separation and multisource audio content retrieval, in: SPIE Defense, Security, and Sensing, Baltimore, États-Unis, April 2012.

    http://hal.inria.fr/hal-00664090

International Conferences with Proceedings

  • 50K. Adiloglu, E. Vincent.

    A General Variational Bayesian Framework for Robust Feature Extraction in Multisource Recordings, in: IEEE International Conference on Acoustics, Speech and Signal Processing, Kyoto, Japon, March 2012.

    http://hal.inria.fr/hal-00656613
  • 51S. Araki, F. Nesta, E. Vincent, Z. Koldovsky, G. Nolte, A. Ziehe, A. Benichoux.

    The 2011 Signal Separation Evaluation Campaign (SiSEC2011): - Audio source separation -, in: 10th Int. Conf. on Latent Variable Analysis and Signal Separation (LVA/ICA), Tel Aviv, Israël, March 2012, p. 414-422.

    http://hal.inria.fr/hal-00655394
  • 52A. Benichoux, P. Sudhakar, F. Bimbot, R. Gribonval.

    Some uniqueness results in sparse convolutive source separation, in: International Conference on Latent Variable Analysis and Source Separation, Tel Aviv, Israël, Springer, March 2012.

    http://hal.inria.fr/hal-00659913
  • 53F. Bimbot, E. Deruty, G. Sargent, E. Vincent.

    Semiotic structure labeling of music pieces: Concepts, methods and annotation conventions, in: 13th International Society for Music Information Retrieval Conference (ISMIR), Porto, Portugal, October 2012.

    http://hal.inria.fr/hal-00758648
  • 54R. Gribonval, G. Chardon, L. Daudet.

    Blind Calibration for Compressed Sensing by Convex Optimization, in: IEEE International Conference on Acoustics, Speech, and Signal Processing, Kyoto, Japon, 2012.

    http://hal.inria.fr/hal-00658579
  • 55M. Lagrange, A. Ozerov, E. Vincent.

    Robust singer identification in polyphonic music using melody enhancement and uncertainty-based learning, in: 13th International Society for Music Information Retrieval Conference (ISMIR), Porto, Portugal, October 2012.

    http://hal.inria.fr/hal-00709826
  • 56B. Ludusan, S. Ziegler, G. Gravier.

    Integrating Stress Information in Large Vocabulary Continuous Speech Recognition, in: Interspeech, Portland, U.S.A., 2012.

    http://hal.inria.fr/hal-00758622
  • 57F. Metze, N. Rajput, X. Anguera, M. Davel, G. Gravier, C. Van Heerden, G. Mantena, A. Muscariello, K. Pradhallad, I. Szöke, J. Tejedor.

    The Spoken Web Search task at MediaEval 2011, in: IEEE International Conference on Acoustics, Speech and Signal Processing, France, 2012, 4 p.

    http://hal.inria.fr/hal-00671011
  • 58S. Nam, R. Gribonval.

    Physics-driven structured cosparse modeling for source localization, in: Acoustics, Speech and Signal Processing, IEEE International Conference on (ICASSP 2012), Kyoto, Japon, IEEE, 2012.

    http://hal.inria.fr/hal-00659405
  • 59G. Nolte, D. Lutter, A. Ziehe, F. Nesta, E. Vincent, Z. Koldovsky, A. Benichoux, S. Araki.

    The 2011 Signal Separation Evaluation Campaign (SiSEC2011): - Biomedical data analysis -, in: 10th Int. Conf. on Latent Variable Analysis and Signal Separation (LVA/ICA), Tel Aviv, Israël, March 2012, p. 423-429.

    http://hal.inria.fr/hal-00655801
  • 60L. S. R. Simon, E. Vincent.

    A general framework for online audio source separation, in: International conference on Latent Variable Analysis and Signal Separation, Tel-Aviv, Israël, March 2012.

    http://hal.inria.fr/hal-00655398
  • 61N. Stefanakis, J. Marchal, V. Emiya, N. Bertin, R. Gribonval, P. Cervenka.

    Sparse underwater acoustic imaging: a case study, in: IEEE International Conference on Acoustics, Speech, and Signal Processing, Kyoto, Japon, March 2012.

    http://hal.inria.fr/hal-00661526
  • 62E. Vincent.

    Improved perceptual metrics for the evaluation of audio source separation, in: 10th Int. Conf. on Latent Variable Analysis and Signal Separation (LVA/ICA), Tel Aviv, Israël, March 2012, p. 430-437.

    http://hal.inria.fr/hal-00653196
  • 63M. Yaghoobi, S. Nam, R. Gribonval, M. Davies.

    Noise Aware Analysis Operator Learning for Approximately Cosparse Signals, in: ICASSP - IEEE International Conference on Acoustics, Speech, and Signal Processing - 2012, Kyoto, Japon, IEEE, 2012.

    http://hal.inria.fr/hal-00661549
  • 64S. Ziegler, B. Ludusan, G. Gravier.

    Towards a new speech event detection approach for landmark-based speech recognition, in: IEEE Workshop on Spoken Language Technology, États-Unis, 2012.

    http://hal.inria.fr/hal-00758424
  • 65S. Ziegler, B. Ludusan, G. Gravier.

    Using Broad Phonetic Classes to Guide Search in Automatic Speech Recognition, in: Interspeech, Portland, U.S.A., 2012.

    http://hal.inria.fr/hal-00758427

Conferences without Proceedings

  • 66G. Sargent, F. Bimbot, E. Vincent.

    A Music Structure Inference Algorithm Based on Morphological Analysis, in: The Music Information Retrieval Evaluation eXchange (MIREX), ISMIR 2012, Porto, Portugal, October 2012.

    http://hal.inria.fr/hal-00727791

Scientific Books (or Scientific Book chapters)

  • 67B. Durand, F. Bimbot, I. Bloch, A. Charara, et al..

    Sciences et Technologies de l'Information (Informatique, Automatique, Signal et Communication), in: Rapport de Conjoncture 2010 du Comité National du CNRS, CNRS, 2012, no 7, p. 121–137.

Internal Reports

  • 68K. Adiloglu, E. Vincent.

    Supporting Technical Report for the Article "Variational Bayesian Inference for Source Separation and Robust Feature Extraction", Inria, April 2012, no RT-0423, 25 p.

    http://hal.inria.fr/hal-00687162
  • 69K. Adiloglu, E. Vincent.

    Variational Bayesian Inference for Source Separation and Robust Feature Extraction, Inria, August 2012, no RT-0428.

    http://hal.inria.fr/hal-00726146
  • 70A. Benichoux, L. S. R. Simon, E. Vincent, R. Gribonval.

    Convex regularizations for the simultaneous recording of room impulse responses, Inria, November 2012, no RR-8130.

    http://hal.inria.fr/hal-00749585
  • 71F. Bimbot, E. Deruty, G. Sargent, E. Vincent.

    Complementary Report to the Article "Semiotic structure labeling of music pieces : concepts, methods and annotation conventions" (Proceedings ISMIR 2012), IRISA, June 2012, no PI 1996.

    http://hal.inria.fr/hal-00713196
  • 72F. Bimbot, E. Deruty, G. Sargent, E. Vincent.

    Methodology and conventions for the latent semiotic annotation of music structure, IRISA, February 2012, no PI-1993.

    http://hal.inria.fr/hal-00676509
  • 73F. Bimbot, E. Deruty, G. Sargent, E. Vincent.

    System & Contrast : a Polymorphous Model of the Inner Organization of Structural Segments within Music Pieces, IRISA, December 2012, no PI 1999.
  • 74A. Bourrier, F. Perronnin, R. Gribonval, P. Pérez, H. Jégou.

    Nearest neighbor search for arbitrary kernels with explicit embeddings, Inria, August 2012, no RR-8040.

    http://hal.inria.fr/hal-00722635
  • 75N. Q. K. Duong, E. Vincent, R. Gribonval.

    Spatial location priors for Gaussian model-based reverberant audio source separation, Inria, September 2012, no RR-8057.

    http://hal.inria.fr/hal-00727781
  • 76N. Ito, E. Vincent, N. Ono, S. Sagayama.

    Robust estimation of directions-of-arrival in diffuse noise based on matrix-space sparsity, Inria, October 2012, no RR-8120.

    http://hal.inria.fr/hal-00746271
  • 77R. Jenatton, R. Gribonval, F. Bach.

    Local stability and robustness of sparse dictionary learning in the presence of noise, Polytechnique, October 2012, 41 p.

    http://hal.inria.fr/hal-00737152
  • 78J. Le Roux, E. Vincent.

    Consistent Wiener filtering for audio source separation, Inria, August 2012, no RR-8049.

    http://hal.inria.fr/hal-00725350
  • 79A. Ozerov, M. Lagrange, E. Vincent.

    Uncertainty-based learning of Gaussian mixture models from noisy data, Inria, January 2012, no RR-7862.

    http://hal.inria.fr/hal-00660689
  • 80S. Raczynski, S. Fukayama, E. Vincent.

    Melody harmonisation with interpolated probabilistic models, Inria, October 2012, no RR-8110.

    http://hal.inria.fr/hal-00742957
  • 81S. Raczynski, E. Vincent, S. Sagayama.

    Dynamic Bayesian networks for symbolic polyphonic pitch modeling, Inria, September 2012, no RT-0430.

    http://hal.inria.fr/hal-00728771

Other Publications

  • 82V. Emiya, N. Stefanakis, J. Marchal, N. Bertin, R. Gribonval, P. Cervenka.

    Underwater acoustic imaging: sparse models and implementation issues, May 2012, Projet ANR : ANR-09-EMER-001.

    http://hal.inria.fr/hal-00677287
  • 83R. Giryes, S. Nam, M. Elad, R. Gribonval, M. E. Davies.

    Greedy-Like Algorithms for the Cosparse Analysis Model.

    http://hal.inria.fr/hal-00716593
  • 84C. Guichaoua.

    Dictionary Learning for Audio Inpainting, Computer Science, Rennes 1, June 2012.

    http://dumas.ccsd.cnrs.fr/dumas-00725263
  • 85C. Herzet, C. Soussen, J. Idier, R. Gribonval.

    Coherence-based Partial Exact Recovery Condition for OMP/OLS.

    http://hal.inria.fr/hal-00759433
  • 86C. Soussen, R. Gribonval, J. Idier, C. Herzet.

    Joint k-step analysis of Orthogonal Matching Pursuit and Orthogonal Least Squares, 2012.

    http://hal.inria.fr/hal-00637003
  • 87M. Yaghoobi, S. Nam, R. Gribonval, M. E. Davies.

    Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling, 2012, 28 pages, 11 figures.

    http://hal.inria.fr/hal-00699556
References in notes
  • 88R. Baraniuk.

    Compressive sensing, in: IEEE Signal Processing Magazine, July 2007, vol. 24, no 4, p. 118–121.
  • 89R. Boite, H. Bourlard, T. Dutoit, J. Hancq, H. Leich.

    Traitement de la Parole, Presses Polytechniques et Universitaires Romandes, 2000.
  • 90M. Davy, S. J. Godsill, J. Idier.

    Bayesian Analysis of Polyphonic Western Tonal Music, in: Journal of the Acoustical Society of America, 2006, vol. 119, no 4, p. 2498–2517.
  • 91G. Gravier, F. Yvon, B. Jacob, F. Bimbot.

    Sirocco, un système ouvert de reconnaissance de la parole, in: Journées d'étude sur la parole, Nancy, June 2002, p. 273-276.
  • 92F. Jelinek.

    Statistical Methods for Speech Recognition, MIT Press, Cambridge, Massachussetts, 1998.
  • 93S. Mallat.

    A Wavelet Tour of Signal Processing, 2, Academic Press, San Diego, 1999.
  • 94K. Murphy.

    An introduction to graphical models, 2001.

    http://www.cs.ubc.ca/~murphyk/Papers/intro_gm.pdf
  • 95N. Whiteley, A. T. Cemgil, S. J. Godsill.

    Sequential Inference of Rhythmic Structure in Musical Audio, in: Proc. of IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2007, p. 1321–1324.