Speech intelligibility training using automatic speech recognition technology

2002 ◽  
Vol 112 (5) ◽  
pp. 2303-2304
Author(s):  
Diane Kewley-Port ◽  
Jonathan Dalby ◽  
Deborah Burleson
Keyword(s):  
Speech Recognition ◽  
Automatic Speech Recognition ◽  
Speech Intelligibility ◽  
Speech Recognition Technology

Perceptual Properties of Current Speech Recognition Technology

2013 ◽  
Vol PP (99) ◽  
pp. 1-18 ◽  
Keyword(s):  
Feature Extraction ◽  
Speech Recognition ◽  
Auditory System ◽  
Automatic Speech Recognition ◽  
Auditory Processing ◽  
Auditory Perception ◽  
Automatic Recognition ◽  
Extraction Procedures ◽  
Human Auditory System ◽  
Speech Recognition Technology

In recent years, a number of feature extraction procedures for automatic speech recognition (ASR) systems have been based on models of human auditory processing, and one often hears arguments in favor of implementing knowledge of human auditory perception and cognition into machines for ASR. This paper takes a reverse route, and argues that the engineering techniques for automatic recognition of speech that are already in widespread use are often consistent with some well-known properties of the human auditory system.

Improving English pronunciation via automatic speech recognition technology

2019 ◽  
Vol 25 (2) ◽  
pp. 126
Author(s):  
Minjia Liu ◽  
Xiujuan Chen ◽  
Yiling Mo ◽  
Zejia Chen ◽  
Xiaobin Liu ◽  
...  
Keyword(s):  
Speech Recognition ◽  
Automatic Speech Recognition ◽  
Speech Recognition Technology ◽  
English Pronunciation

The use of automatic speech recognition showing the influence of nasality on speech intelligibility

2010 ◽  
Vol 267 (11) ◽  
pp. 1719-1725 ◽  
Author(s):  
S. Mayr ◽  
K. Burkhardt ◽  
M. Schuster ◽  
K. Rogler ◽  
A. Maier ◽  
...  
Keyword(s):  
Speech Recognition ◽  
Automatic Speech Recognition ◽  
Speech Intelligibility
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