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» Analysis-by-synthesis features for speech recognition
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INTERSPEECH
2010
13 years 4 months ago
Glottal-based analysis of the lombard effect
The Lombard effect refers to the speech changes due to the immersion of the speaker in a noisy environment. Among these changes, studies have already reported acoustic modificatio...
Thomas Drugman, Thierry Dutoit
ICASSP
2010
IEEE
13 years 8 months ago
A comparison of approaches for modeling prosodic features in speaker recognition
Prosodic information has been successfully used for speaker recognition for more than a decade. The best-performing prosodic system to date has been one based on features extracte...
Luciana Ferrer, Nicolas Scheffer, Elizabeth Shribe...
ISMIR
2000
Springer
168views Music» more  ISMIR 2000»
14 years 1 months ago
Mel Frequency Cepstral Coefficients for Music Modeling
We examine in some detail Mel Frequency Cepstral Coefficients (MFCCs) - the dominant features used for speech recognition - and investigate their applicability to modeling music. ...
Beth Logan
COST
2009
Springer
203views Multimedia» more  COST 2009»
14 years 4 months ago
Multiple Feature Extraction and Hierarchical Classifiers for Emotions Recognition
Abstract. The recognition of the emotional states of speaker is a multidisciplinary research area that has received great interest in the last years. One of the most important goal...
Enrique M. Albornoz, Diego H. Milone, Hugo Leonard...
ICMI
2005
Springer
170views Biometrics» more  ICMI 2005»
14 years 3 months ago
Inferring body pose using speech content
Untethered multimodal interfaces are more attractive than tethered ones because they are more natural and expressive for interaction. Such interfaces usually require robust vision...
Sy Bor Wang, David Demirdjian