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NIPS
2004
13 years 6 months ago
Blind One-microphone Speech Separation: A Spectral Learning Approach
We present an algorithm to perform blind, one-microphone speech separation. Our algorithm separates mixtures of speech without modeling individual speakers. Instead, we formulate ...
Francis R. Bach, Michael I. Jordan
ICA
2004
Springer
13 years 10 months ago
A Geometric Approach for Separating Several Speech Signals
In this paper a new geometrical approach for separating speech signals is presented. This approach can be directly applied to separate more than two speech signals. It is based on ...
Massoud Babaie-Zadeh, Ali Mansour, Christian Jutte...
SPEECH
2010
136views more  SPEECH 2010»
13 years 2 months ago
Robust speech recognition by integrating speech separation and hypothesis testing
Missing data methods attempt to improve robust speech recognition by distinguishing between reliable and unreliable data in the time-frequency domain. Such methods require a binar...
Soundararajan Srinivasan, DeLiang L. Wang
ICASSP
2011
IEEE
12 years 8 months ago
A non-negative approach to semi-supervised separation of speech from noise with the use of temporal dynamics
We present a semi-supervised source separation methodology to denoise speech by modeling speech as one source and noise as the other source. We model speech using the recently pro...
Gautham J. Mysore, Paris Smaragdis
ICMCS
2000
IEEE
112views Multimedia» more  ICMCS 2000»
13 years 9 months ago
Short-Time Kurtosis of Speech Signals with Application to Co-channel Speech Separation
Recent work into the separation of mixtures of speech signals has shown some success. One particular method is based on the assumption that scalar mixtures of speech signals have ...
Phillip L. De Leon