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SPEECH
1998
171views more  SPEECH 1998»
13 years 4 months ago
Heteroscedastic discriminant analysis and reduced rank HMMs for improved speech recognition
We present the theory for heteroscedastic discriminant analysis (HDA), a model-based generalization of linear discriminant analysis (LDA) derived in the maximum-likelihood framewo...
Nagendra Kumar, Andreas G. Andreou
TASLP
2011
12 years 11 months ago
Time-Frequency Cepstral Features and Heteroscedastic Linear Discriminant Analysis for Language Recognition
Abstract—The shifted delta cepstrum (SDC) is a widely used feature extraction for language recognition (LRE). With a high context width due to incorporation of multiple frames, S...
Weiqiang Zhang, Liang He, Yan Deng, Jia Liu, M. T....
LREC
2008
81views Education» more  LREC 2008»
13 years 6 months ago
Speech Errors on Frequently Observed Homophones in French: Perceptual Evaluation vs Automatic Classification
The present contribution aims at increasing our understanding of automatic speech recognition (ASR) errors involving frequent homophone or almost homophone words by confronting th...
Rena Nemoto, Ioana Vasilescu, Martine Adda-Decker