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» Melody Spotting Using Hidden Markov Models
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138
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MM
2004
ACM
117views Multimedia» more  MM 2004»
15 years 9 months ago
Singing voice detection in popular music
We propose a novel technique for the automatic classification of vocal and non-vocal regions in an acoustic musical signal. Our technique uses a combination of harmonic content a...
Tin Lay Nwe, Arun Shenoy, Ye Wang
134
Voted
GW
1999
Springer
134views Biometrics» more  GW 1999»
15 years 8 months ago
Toward Scalability in ASL Recognition: Breaking Down Signs into Phonemes
In this paper we present a novel approach to continuous, whole-sentence ASL recognition that uses phonemes instead of whole signs as the basic units. Our approach is based on a se...
Christian Vogler, Dimitris N. Metaxas
LREC
2008
174views Education» more  LREC 2008»
15 years 5 months ago
Automatic Phoneme Segmentation with Relaxed Textual Constraints
Speech synthesis by unit selection requires the segmentation of a large single speaker high quality recording. Automatic speech recognition techniques, e.g. Hidden Markov Models (...
Pierre Lanchantin, Andrew C. Morris, Xavier Rodet,...
141
Voted
ISCI
2008
129views more  ISCI 2008»
15 years 4 months ago
Thai spelling analysis for automatic spelling speech recognition
Spelling speech recognition can be applied for several purposes including enhancement of speech recognition systems and implementation of name retrieval systems. This paper presen...
Chutima Pisarn, Thanaruk Theeramunkong
ICPR
2006
IEEE
16 years 5 months ago
Mixture of Support Vector Machines for HMM based Speech Recognition
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
Sven E. Krüger, Martin Schafföner, Marce...