145 search results - page 16 / 29 » Factor analysed hidden Markov models for speech recognition |
CSL
2002
Springer
14 years 9 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...
72
Voted
ICPR
2010
IEEE
15 years 6 days ago
2010
IEEE
Our research focuses on analysing human activities according to a known behaviorist scenario, in case of noisy and high dimensional collected data. The data come from the monitori...
ISMIR
2005
Springer
15 years 3 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...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
In this paper, we introduce the semantic network model (SNM), a generalization of the hidden Markov model (HMM) that uses factorization of state transition probabilities to reduce...
IUI
2005
ACM
15 years 3 months ago
2005
ACM
A principal problem in speech recognition is distinguishing between words and phrases that sound similar but have different meanings. Speech recognition programs produce a list of...