Context-Dependent Vector Clustering for Speech Recognition

1996 ◽  
pp. 133-157 ◽  
Author(s):  
Jerome R. Bellegarda
Keyword(s):  
Speech Recognition ◽  
Dependent Vector ◽  
Context Dependent ◽  
Vector Clustering

Locus equation and hidden parameters of speech

1998 ◽  
Vol 21 (2) ◽  
pp. 263-264
Author(s):  
Li Deng
Keyword(s):  
Speech Recognition ◽  
Model Parameters ◽  
Speech Acoustics ◽  
Locus Equation ◽  
Speech Recognition Technology ◽  
Hidden Parameters ◽  
Context Dependent ◽  
Speech Model

Locus equations contain an economical set of hidden (i.e., not directly observable in the data) parameters of speech that provide an elegant way of characterizing the ubiquitous context-dependent behaviors exhibited in speech acoustics. These hidden parameters can be effectively exploited to constrain the huge set of context-dependent speech model parameters currently in use in modern, mainstream speech recognition technology.

scholarly journals From Senones to Chenones: Tied Context-Dependent Graphemes for Hybrid Speech Recognition

2019 ◽  
Author(s):  
Duc Le ◽  
Xiaohui Zhang ◽  
Weiyi Zheng ◽  
Christian Fugen ◽  
Geoffrey Zweig ◽  
...  
Keyword(s):  
Speech Recognition ◽  
Context Dependent
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