How to integrate audio source separation and classification

作者: Emmanuel Vincent

DOI:

关键词: Artificial intelligenceSource separationComputer sciencePattern recognition

摘要:

参考文章(7)
Reinhold Haeb-Umbach, Dorothea Kolossa, Robust Speech Recognition of Uncertain or Missing Data: Theory and Applications Springer Publishing Company, Incorporated. ,(2011)
M. J. F. Gales, Model-based techniques for noise robust speech recognition Ph. D Dissertation, University of Cambridge. ,(1995)
Alexey Ozerov, Mathieu Lagrange, Emmanuel Vincent, Uncertainty-based learning of acoustic models from noisy data Computer Speech & Language. ,vol. 27, pp. 874- 894 ,(2013) , 10.1016/J.CSL.2012.07.002
Kamil Adiloglu, Emmanuel Vincent, A general variational Bayesian framework for robust feature extraction in multisource recordings 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). pp. 273- 276 ,(2012) , 10.1109/ICASSP.2012.6287870
Li Deng, J. Droppo, A. Acero, Dynamic compensation of HMM variances using the feature enhancement uncertainty computed from a parametric model of speech distortion IEEE Transactions on Speech and Audio Processing. ,vol. 13, pp. 412- 421 ,(2005) , 10.1109/TSA.2005.845814
Mathieu Lagrange, Alexey Ozerov, Emmanuel Vincent, ROBUST SINGER IDENTIFICATION IN POLYPHONIC MUSIC USING MELODY ENHANCEMENT AND UNCERTAINTY-BASED LEARNING international symposium/conference on music information retrieval. pp. 595- 600 ,(2012)