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» Bi-Spectral Acoustic Features for Robust Speech Recognition
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ICASSP
2009
IEEE
15 years 4 months ago
Minimum variance modulation filter for robust speech recognition
This paper describes a way of designing modulation filter by datadriven analysis which improves the performance of automatic speech recognition systems that operate in real envir...
Yu-Hsiang Bosco Chiu, Richard M. Stern
SPEECH
2010
210views more  SPEECH 2010»
14 years 8 months ago
An overview of text-independent speaker recognition: From features to supervectors
This paper gives an overview of automatic speaker recognition technology, with an emphasis on text-independent recognition. Speaker recognition has been studied actively for sever...
Tomi Kinnunen, Haizhou Li
ICASSP
2008
IEEE
15 years 4 months ago
Toward a detector-based universal phone recognizer
In recent research, we have proposed a high-accuracy bottom-up detection-based paradigm for continuous phone speech recognition. The key component of our system was a bank of arti...
Sabato Marco Siniscalchi, Torbjørn Svendsen...
ICASSP
2011
IEEE
14 years 1 months ago
Parallel Transformation Network features for speaker recognition
The use of speaker adaptation transforms as features for speaker recognition is an appealing alternative to conventional short-term cepstral features. In general, this kind of met...
Alberto Abad, Jordi Luque, Isabel Trancoso
73
Voted
PAMI
2002
98views more  PAMI 2002»
14 years 9 months ago
Extraction of Visual Features for Lipreading
The multimodal nature of speech is often ignored in human-computer interaction, but lip deformations and other body motion, such as those of the head, convey additional information...
Iain Matthews, Timothy F. Cootes, J. Andrew Bangha...