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» Emotion recognition using imperfect speech recognition
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ISMIR
2000
Springer
168views Music» more  ISMIR 2000»
15 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
SIGIR
2008
ACM
14 years 10 months ago
A lattice-based approach to query-by-example spoken document retrieval
Recent efforts on the task of spoken document retrieval (SDR) have made use of speech lattices: speech lattices contain information about alternative speech transcription hypothes...
Tee Kiah Chia, Khe Chai Sim, Haizhou Li, Hwee Tou ...
MLMI
2007
Springer
15 years 4 months ago
Microphone Array Beamforming Approach to Blind Speech Separation
In this paper, we present a microphone array beamforming approach to blind speech separation. Unlike previous beamforming approaches, our system does not require a-priori knowledge...
Ivan Himawan, Iain McCowan, Mike Lincoln
NOLISP
2005
Springer
15 years 3 months ago
Exploiting High-Level Information Provided by ALISP in Speaker Recognition
The best performing systems in the area of automatic speaker recognition have focused on using short-term, low-level acoustic information, such as sepstral features. Recently, vari...
Asmaa El Hannani, Dijana Petrovska-Delacrét...
ICBA
2004
Springer
197views Biometrics» more  ICBA 2004»
15 years 3 months ago
Maximum Likelihood and Maximum a Posteriori Adaptation for Distributed Speaker Recognition Systems
We apply the ETSI’s DSR standard to speaker verification over telephone networks and investigate the effect of extracting spectral features from different stages of the ETSI...
Chin-Hung Sit, Man-Wai Mak, Sun-Yuan Kung