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Uncertainty-based learning of acoustic models from noisy data.

A. Ozerov, M. Lagrange, and E. Vincent. Computer Speech & Language, 27 (3): 874-894 (2013)

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Multi-scale temporal fusion by boosting for music classification.R. Foucard, S. Essid, M. Lagrange, and G. Richard. ISMIR, page 663-668. University of Miami, (2011)Analysis of Saxophone Performance for Computer-Assisted Tutoring.M. Robine, G. Percival, and M. Lagrange. ICMC, Michigan Publishing, (2007)Classification of rainfall radar images using the scattering transform.G. Garcia, M. Lagrange, I. Emmanuel, and H. Andrieu. EUSIPCO, page 1940-1944. IEEE, (2015)Cluster aware normalization for enhancing audio similarity.M. Lagrange, L. Martins, and G. Tzanetakis. ICASSP, page 1969-1972. IEEE, (2012)Multimodal similarity between musical streams for cover version detection.R. Foucard, J. Durrieu, M. Lagrange, and G. Richard. ICASSP, page 5514-5517. IEEE, (2010)On automatic drum transcription using non-negative matrix deconvolution and itakura saito divergence.A. Roebel, J. Pons, M. Liuni, and M. Lagrange. ICASSP, page 414-418. IEEE, (2015)Sound Source Tracking and Formation using Normalized Cuts.M. Lagrange, and G. Tzanetakis. ICASSP (1), page 61-64. IEEE, (2007)Representing environmental sounds using the separable scattering transform.C. Bauge, M. Lagrange, J. Andén, and S. Mallat. ICASSP, page 8667-8671. IEEE, (2013)Relevance-based quantization of scattering features for unsupervised mining of environmental audio.V. Lostanlen, G. Lafay, J. Andén, and M. Lagrange. EURASIP J. Audio, Speech and Music Processing, (2018)An Efficient Audio Coding Scheme for Quantitative and Qualitative Large Scale Acoustic Monitoring Using the Sensor Grid Approach.F. Gontier, M. Lagrange, P. Aumond, A. Can, and C. Lavandier. Sensors, 17 (12): 2758 (2017)

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Uncertainty-based learning of acoustic models from noisy data.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Uncertainty-based learning of acoustic models from noisy data.

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Uncertainty-based learning of acoustic models from noisy data.