The use of speech knowledge in automatic speech recognition

1 January 1985

journal article
research article
Published by Institute of Electrical and Electronics Engineers (IEEE) in Proceedings of the IEEE

Vol. 73 (11) , 1602-1615
https://doi.org/10.1109/PROC.1985.13342

Abstract

In automatic speech recognition, the acoustic signal is the only tangible connection between the talker and the machine. While the signal conveys linguistic information, this information is often encoded in such a complex manner that the signal exhibits a great deal of variability. In addition, variations in environment and speaker can introduce further distortions that are linguistically irrelevant. This paper has three aims: 1) to discuss the nature of variabilities; 2) to describe the kinds of speech knowledge that may help us understand variabilities; and 3) to advocate and suggest specific procedures for the increased utilization of speech knowledge in automatic speech recognition.

Keywords

This publication has 2 references indexed in Scilit:

Speech coding in the auditory nerve: II. Processing schemes for vowel-like sounds
The Journal of the Acoustical Society of America, 1984
Stop consonant discrimination based on human audition
The Journal of the Acoustical Society of America, 1979