Acoustic diversity for improved speech recognition in reverberant environments

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 1, Issue , 2002, Pages

  Gillespie, Bradford W ^a   Atlas, Les E ^a  

^a University of Washington   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION METHODS; MATHEMATICAL MODELS; MICROPHONES; REVERBERATION; SIGNAL TO NOISE RATIO; SPEECH INTELLIGIBILITY; SPEECH TRANSMISSION;

AUTOMATIC SPEECH RECOGNITION; SIGNAL TO REVERBERATION RATIO; SPEECH ENHANCEMENT;

SPEECH RECOGNITION;

EID: 0036289676     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icassp.2002.5743778     Document Type: Conference Paper

References (13)

1. Adaptive noise reduction of speech signals
2. An event-based method for microphone array speech enhancement
3. Speech dereverberation via maximum kurtosis subband adaptive filtering
4. Computer-steered microphone arrays for sound transduction in large rooms
5. Experiments of speech recognition in a noisy and reverberant environment using a microphone array and HMM adaptation
6. Spatially selective sound capture fore speech and audio processing
7. Small-scale matched filter array processing for spatially selective sound capture
8. Optimal truncation time for matched filter array processing
9. The influence of a single echo on the audibility of speech
10. Statistical signal processing: Detection, estimation, and time series analysis