A comparison between native and non-native speech for automatic speech recognition

2019 ◽  
Vol 145 (3) ◽  
pp. 1827-1827
Author(s):  
Seongjin Park ◽  
John Culnan
Keyword(s):  
Speech Recognition ◽  
Automatic Speech Recognition ◽  
Native Speech

scholarly journals ASR Systems as Models of Phonetic Category Perception in Adults

2017 ◽  
Author(s):  
Thomas Schatz ◽  
Francis Bach ◽  
Emmanuel Dupoux
Keyword(s):  
Speech Recognition ◽  
Speech Perception ◽  
Automatic Speech Recognition ◽  
Speech Processing ◽  
Systematic Investigation ◽  
Speech Sounds ◽  
Phonetic Category ◽  
Phonetic Perception ◽  
Human Adults ◽  
Native Speech

We test the potential of standard Automatic Speech Recognition (ASR) systems trained on large corpora of continuous speech as quantitative models of human speech processing. In human adults, speech perception is attuned to efficiently process native speech sounds, at the expense of difficulties in pro- cessing non-native sounds. We use ABX-discriminability measures to test whether ASR models can account for the patterns of confusion between speech sounds observed in humans. We show that ASR models reproduce some well-documented effects in non-native phonetic perception. Beyond the immediate results, our methodology opens up the possibility of a more systematic investigation of phonetic category perception in humans.

Using Clinician Annotations to Improve Automatic Speech Recognition of Stuttered Speech

2016 ◽  
Author(s):  
Peter A. Heeman ◽  
Rebecca Lunsford ◽  
Andy McMillin ◽  
J. Scott Yaruss
Keyword(s):  
Speech Recognition ◽  
Automatic Speech Recognition

Multi-Scale Context Adaptation for Improving Child Automatic Speech Recognition in Child-Adult Spoken Interactions

2017 ◽  
Author(s):  
Manoj Kumar ◽  
Daniel Bone ◽  
Kelly McWilliams ◽  
Shanna Williams ◽  
Thomas D. Lyon ◽  
...  
Keyword(s):  
Speech Recognition ◽  
Automatic Speech Recognition ◽  
Context Adaptation ◽  
Multi Scale
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