Accession Number:

AD0757492

Title:

Automatic Recognition of Spoken English Words.

Descriptive Note:

Technical rept.,

Corporate Author:

TEXAS UNIV AUSTIN ELECTRONICS RESEARCH CENTER

Personal Author(s):

Report Date:

1972-07-28

Pagination or Media Count:

77.0

Abstract:

The object of the research was the development and testing of techniques for use in the recognition of spoken words. A trainable pattern classifier to recognize a limited vocabulary of spoken words was implemented using these techniques. The words used were spoken into a microphone located on the operator console in the Hybrid Computing Facility. Speech samples were processed by a 31-channel bandpass filterbank before digitization. Training was accomplished by first segmenting each spoken word into three time sections and then performing clustering operations on these segments to derive a set of prototype segments, along with estimated a priori probabilities of occurrence for these prototypes. The system was trained first on a single speaker and later on a group of five speakers, using the digitszerothroughnineas a test vocabulary. Recognition rates were generally from 94 to 98 on new data by the speakers for which the system was trained. Author Modified Abstract

Subject Categories:

  • Non-Radio Communications

Distribution Statement:

APPROVED FOR PUBLIC RELEASE