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» Factor analysed hidden Markov models for speech recognition
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ICML
2009
IEEE
14 years 6 months ago
Matrix updates for perceptron training of continuous density hidden Markov models
In this paper, we investigate a simple, mistakedriven learning algorithm for discriminative training of continuous density hidden Markov models (CD-HMMs). Most CD-HMMs for automat...
Chih-Chieh Cheng, Fei Sha, Lawrence K. Saul
ICASSP
2009
IEEE
13 years 3 months ago
VLSI for 5000-word continuous speech recognition
We have developed a VLSI chip for 5,000 word speakerindependent continuous speech recognition. This chip employs a context-dependent HMM (hidden Markov model) based speech recogni...
Young-kyu Choi, Kisun You, Jungwook Choi, Wonyong ...
TASLP
2008
154views more  TASLP 2008»
13 years 5 months ago
Capturing Local Variability for Speaker Normalization in Speech Recognition
The new model reduces the impact of local spectral and temporal variability by estimating a finite set of spectral and temporal warping factors which are applied to speech at the f...
Antonio Miguel, Eduardo Lleida, Richard Rose, Luis...
ICASSP
2011
IEEE
12 years 9 months ago
A non-negative approach to semi-supervised separation of speech from noise with the use of temporal dynamics
We present a semi-supervised source separation methodology to denoise speech by modeling speech as one source and noise as the other source. We model speech using the recently pro...
Gautham J. Mysore, Paris Smaragdis
IPPS
1999
IEEE
13 years 10 months ago
A Parallel Phoneme Recognition Algorithm Based on Continuous Hidden Markov Model
This paper presents a parallel phoneme recognition algorithm based on the continuous Hidden Markov Model (HMM). The parallel phoneme recognition algorithm distributes 3-state HMMs...
Sang-Hwa Chung, Min-Uk Park, Hyung-Soon Kim