26 search results - page 2 / 6 » Discriminative training of HMMs for automatic speech recogni... |
CSL
2007
Springer
13 years 5 months ago
2007
Springer
Hidden Markov Models (HMMs) are the most commonly used acoustic model for speech recognition. In HMMs, the probability of successive observations is assumed independent given the ...
PRL
2007
13 years 4 months ago
2007
ct 7 Discriminative training for hidden Markov models (HMMs) has been a central theme in speech recognition research for many years. 8 One most popular technique is minimum classiï...
NAACL
2003
13 years 6 months ago
2003
It is well known that frame independence assumption is a fundamental limitation of current HMM based speech recognition systems. By treating each speech frame independently, HMMs ...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
We introduce Bayesian sensing hidden Markov models (BS-HMMs) to represent speech data based on a set of state-dependent basis vectors. By incorporating the prior density of sensin...
INTERSPEECH
2010
13 years 3 days ago
2010
In this paper, we present a systems approach for channel modeling of an Automatic Speech Recognition (ASR) system. This can have implications in improving speech recognition compo...