Model-Based Expectation-Maximization Source Separation and Localization

This paper describes a system, referred to as model-based expectation-maximization source separation and localization (MESSL), for separating and localizing multiple sound sources from an underdetermined reverberant two-channel recording. By clustering individual spectrogram points based on their in...

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Vydané v:	IEEE transactions on audio, speech, and language processing Ročník 18; číslo 2; s. 382 - 394
Hlavní autori:	Mandel, M.I., Weiss, R.J., Ellis, D.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway, NJ IEEE 01.02.2010 Institute of Electrical and Electronics Engineers
Predmet:	Applied sciences Background noise Delay Detection, estimation, filtering, equalization, prediction Digital recording Exact sciences and technology Expectation-maximization algorithms Information, signal and communications theory Iterative algorithms Maximum-likelihood estimation Miscellaneous Parameter estimation Predictive models Signal and communications theory Signal processing Signal representation. Spectral analysis Signal, noise Source separation Spectrogram Speech enhancement Speech processing Telecommunications and information theory time-frequency masking underdetermined source separation Automatic classification Parameter estimation Source separation Signal estimation Mixture theory Sound quality Spectrum analysis Speech enhancement time-frequency masking Masking Delay time Target detection Probabilistic approach Two channel system Maximum-likelihood estimation Sound source Signal classification Source localization Signal processing underdetermined source separation Phase delay Maximum likelihood EM algorithm Signal analysis Speech processing Signal distortion
ISSN:	1558-7916
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