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76
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ICASSP
2011
IEEE
14 years 1 months ago
Cross-Channel Spectral Subtraction for meeting speech recognition
We propose Cross-Channel Spectral Subtraction (CCSS), a source separation method for recognizing meeting speech where one microphone is prepared for each speaker. The method quick...
Yu Nasu, Koichi Shinoda, Sadaoki Furui
52
Voted
SPEECH
2010
81views more  SPEECH 2010»
14 years 8 months ago
The synergy between bounded-distance HMM and spectral subtraction for robust speech recognition
Jesús Vicente-Peña, Fernando D&iacut...
78
Voted
NAACL
2007
14 years 11 months ago
A Geometric Interpretation of Non-Target-Normalized Maximum Cross-Channel Correlation for Vocal Activity Detection in Meetings
Vocal activity detection is an important technology for both automatic speech recognition and automatic speech understanding. In meetings, standard vocal activity detection algori...
Kornel Laskowski, Tanja Schultz
83
Voted
ICASSP
2010
IEEE
14 years 7 months ago
Clap your hands! Calibrating spectral subtraction for dereverberation
Reverberation effects as observed by room microphones severely degrade the performance of automatic speech recognition systems. We investigate the use of dereverberation by spectr...
Uwe Zah, Korbinian Riedhammer, Tobias Bocklet, Elm...
80
Voted
ICASSP
2010
IEEE
14 years 9 months ago
Optimizing spectral subtraction and wiener filtering for robust speech recognition in reverberant and noisy conditions
Speech enhancement is a common approach to address the effects of degradation due to noise and channel contamination. This approach is intended to suppress unwanted signal and rec...
Randy Gomez, Tatsuya Kawahara