Latent variable decomposition of spectrograms for single channel speaker separation

IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

Volumn , Issue , 2005, Pages 17-20

  Raj, Bhiksha ^a   Smaragdis, Paris ^a  

^a MITSUBISHI ELECTRIC RESEARCH LABORATORIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FOURIER TRANSFORMS; NATURAL FREQUENCIES; RANDOM PROCESSES; SPEECH PROCESSING; VECTORS;

LATENT VARIABLE DECOMPOSITION; MULTINOMIAL DISTRIBUTIONS; SINGLE CHANNEL SPEAKER SEPARATION; SPECTROGRAMS;

BLIND SOURCE SEPARATION;

EID: 33749064773     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASPAA.2005.1540157     Document Type: Conference Paper

References (6)

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2. Roweis, S. T. (2003). "Factorial Models and Re-filtering for Speech Separation and Denoising," EUROSPEECH 2003., 7(6):1009-1012, 2003.
3. Reddy, A.M., Raj, B. (2004). "Soft mask estimation for single channel speaker separation", ISCA ITRW on statistical and perceptual audio processing (SAPA2004), Jeju, Korea, 2004.
4. Jang, G-J, Lee, T-W (2003). "A Maximum Likelihood Approach to Single-Channel Source Separation,", Journal of Machine Learning Research, Vol. 4, 1365-1392, 2003.
5. Smaragdis, P. (2004). "Non-negative Matrix Factor Deconvolution; Extraction of Multiple Sound Sources from Monophonic Inputs", International Congress on Independent Component Analysis and Blind Signal Separation, September 2004.
6. Huffman, T. (2001). "Unsupervised learning by probabilistic latent semanting analysis", Machine Learning, vol. 42, pp. 177-196, 2001.