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» Bi-Spectral Acoustic Features for Robust Speech Recognition
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IEICET
2008
63views more  IEICET 2008»
13 years 4 months ago
Bi-Spectral Acoustic Features for Robust Speech Recognition
Kazuo Onoe, Shoei Sato, Shinichi Homma, Akio Kobay...
ICASSP
2011
IEEE
12 years 8 months ago
Maximum likelihood adaptation of histogram equalization with constraint for robust speech recognition
In this paper, we propose a novel feature space adaptation technique to improve the robustness of speech recognition in noisy environments. Histogram equalization (HEQ) is an effe...
Xiong Xiao, Jinyu Li, Engsiong Chng, Haizhou Li
ICASSP
2009
IEEE
13 years 11 months ago
An auditory-based feature for robust speech recognition
A conventional automatic speech recognizer does not perform well in the presence of noise, while human listeners are able to segregate and recognize speech in noisy conditions. We...
Yang Shao, Zhaozhang Jin, DeLiang Wang, Soundarara...
ICMI
2004
Springer
281views Biometrics» more  ICMI 2004»
13 years 10 months ago
Articulatory features for robust visual speech recognition
Visual information has been shown to improve the performance of speech recognition systems in noisy acoustic environments. However, most audio-visual speech recognizers rely on a ...
Kate Saenko, Trevor Darrell, James R. Glass
NAACL
1994
13 years 6 months ago
Microphone-Independent Robust Signal Processing Using Probabilistic Optimum Filtering
A new mapping algorithm for speech recognition relates the features of simultaneous recordings of clean and noisy speech. The model is a piecewise nonfinear transformation appfied...
Leonardo Neumeyer, Mitch Weintraub