153 search results - page 17 / 31 » Bayesian sensing hidden Markov models for speech recognition |
162
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ISCAS
2007
IEEE
16 years 9 days ago
2007
IEEE
— This paper describes the hardware architecture for a flexible probability density estimation unit to be used in a Large Vocabulary Speech Recognition System, and targeted for m...
176
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NIPS
2001
15 years 7 months ago
2001
A new class of Support Vector Machine (SVM) that is applicable to sequential-pattern recognition such as speech recognition is developed by incorporating an idea of non-linear tim...
163
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ICASSP
2009
IEEE
16 years 23 days ago
2009
IEEE
This paper considers a method for speech emotion recognition by a max-margin framework incorporating a loss function based on a well-known model called the Watson and Tellegen’s...
144
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CSL
2002
Springer
15 years 5 months ago
2002
Springer
The most popular model used in automatic speech recognition is the hidden Markov model (HMM). Though good performance has been obtained with such models there are well known limit...
139
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ISMIR
2005
Springer
15 years 11 months ago
2005
Springer
The use of HMM (Hidden Markov Models) for speech recognition has been successful for various applications in the past decades. However, the use of continuous HMM (CHMM) for melody...