366 search results - page 1 / 74 » Canonical state models for automatic speech recognition |
INTERSPEECH
2010
12 years 11 months ago
2010
Current speech recognition systems are often based on HMMs with state-clustered Gaussian Mixture Models (GMMs) to represent the context dependent output distributions. Though high...
CSL
2000
Springer
13 years 4 months ago
2000
Springer
Conversational speech exhibits considerable pronunciation variability, which has been shown to have a detrimental effect on the accuracy of automatic speech recognition. There hav...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
In modern automatic speech recognition systems, it is standard practice to cluster several logical hidden Markov model states into one physical, clustered state. Typically, the cl...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper investigates the impact of subspace based techniques for acoustic modeling in automatic speech recognition (ASR). There are many well known approaches to subspace based...
ACL
1997
13 years 6 months ago
1997
Although adequate models of human language for syntactic analysis and semantic interpretation are of at least contextfree complexity, for applications such as speech processing in...