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» Signal Processing for Robust Speech Recognition
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INTERSPEECH
2010
15 years 23 days ago
An improved wavelet-based dereverberation for robust automatic speech recognition
This paper presents an improved wavelet-based dereverberation method for automatic speech recognition (ASR). Dereverberation is based on filtering reverberant wavelet coefficients...
Randy Gomez, Tatsuya Kawahara
ICASSP
2011
IEEE
14 years 9 months ago
Analysis of phone confusion in EMG-based speech recognition
In this paper we present a study on phone confusabilities based on phone recognition experiments from facial surface electromyographic (EMG) signals. In our study EMG captures the...
Michael Wand, Tanja Schultz
TASLP
2011
15 years 27 days ago
Advances in Missing Feature Techniques for Robust Large-Vocabulary Continuous Speech Recognition
— Missing feature theory (MFT) has demonstrated great potential for improving the noise robustness in speech recognition. MFT was mostly applied in the log-spectral domain since ...
Maarten Van Segbroeck, Hugo Van Hamme
MT
2002
297views more  MT 2002»
15 years 5 months ago
MARS: A Statistical Semantic Parsing and Generation-Based Multilingual Automatic tRanslation System
We present MARS (Multilingual Automatic tRanslation System), a research prototype speech-to-speech translation system. MARS is aimed at two-way conversational spoken language trans...
Yuqing Gao, Bowen Zhou, Zijian Diao, Jeffrey S. So...
ICASSP
2009
IEEE
16 years 21 days ago
On the phonetic information in ultrasonic microphone signals
We study the phonetic information in the signal from an ultrasonic “microphone”, a device that emits an ultrasonic wave toward a speaker and receives the reflected, Doppler-s...
Karen Livescu, Bo Zhu, James R. Glass