Frequency and Spectrum of Errors in Final Radiology Reports Generated With Automatic Speech Recognition Technology

2009 ◽  
Vol 2009 ◽  
pp. 172-173
Author(s):  
A.D. Elster
Keyword(s):  
Speech Recognition ◽  
Automatic Speech Recognition ◽  
Radiology Reports ◽  
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.

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