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» TRAP-Based Techniques for Recognition of Noisy Speech
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ICASSP
2010
IEEE
13 years 5 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
ICONIP
2004
13 years 6 months ago
In-vehicle Noise and Enhanced Speech Intelligibility
In-Car speech recognition will be pervasive over the coming years. The goal of speech enhancement is to increase the quality and intelligibility of speech in a noisy environment. T...
Akbar Ghobakhlou, Richard Kilgour
IJCAI
1997
13 years 6 months ago
Understanding Three Simultaneous Speeches
Understanding three simultaneous speeches is proposed as a challenge problem to foster artificial intelligence, speech and sound understanding or recognition, and computational au...
Hiroshi G. Okuno, Tomohiro Nakatani, Takeshi Kawab...
SP
2002
IEEE
114views Security Privacy» more  SP 2002»
13 years 4 months ago
HMM-based techniques for speech segments extraction
The goal of the speech segments extraction process is to separate acoustic events of interest (the speech segment to be recognised) in a continuously recorded signal from other par...
Waleed H. Abdulla
ICASSP
2011
IEEE
12 years 9 months ago
Robust speech recognition using multiple prior models for speech reconstruction
Prior models of speech have been used in robust automatic speech recognition to enhance noisy speech. Typically, a single prior model is trained by pooling the entire training dat...
Arun Narayanan, Xiaojia Zhao, DeLiang Wang, Eric F...