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» A Geometric Approach for Separating Several Speech Signals
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CSL
2010
Springer
13 years 6 months ago
Voice activity detection based on statistical models and machine learning approaches
The voice activity detectors (VADs) based on statistical models have shown impressive performances especially when fairly precise statistical models are employed. Moreover, the ac...
Jong Won Shin, Joon-Hyuk Chang, Nam Soo Kim
NIPS
2003
13 years 9 months ago
A Classification-based Cocktail-party Processor
At a cocktail party, a listener can selectively attend to a single voice and filter out other acoustical interferences. How to simulate this perceptual ability remains a great cha...
Nicoleta Roman, DeLiang L. Wang, Guy J. Brown
TASLP
2008
100views more  TASLP 2008»
13 years 7 months ago
Noise Tracking Using DFT Domain Subspace Decompositions
All discrete Fourier transform (DFT) domain-based speech enhancement gain functions rely on knowledge of the noise power spectral density (PSD). Since the noise PSD is unknown in a...
Richard C. Hendriks, Jesper Jensen, Richard Heusde...
BMCBI
2006
138views more  BMCBI 2006»
13 years 7 months ago
Determination of strongly overlapping signaling activity from microarray data
Background: As numerous diseases involve errors in signal transduction, modern therapeutics often target proteins involved in cellular signaling. Interpretation of the activity of...
Ghislain Bidaut, Karsten Suhre, Jean-Michel Claver...
CASES
2001
ACM
13 years 11 months ago
Transparent data-memory organizations for digital signal processors
Today's digital signal processors (DSPs), unlike general-purpose processors, use a non-uniform addressing model in which the primary components of the memory system--the DRAM...
Sadagopan Srinivasan, Vinodh Cuppu, Bruce L. Jacob