An Automatic Speech Recognition System Using a Vocoder Input.
AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OHIO SCHOOL OF ENGINEERING
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Speech recognition is accomplished by off-line machine processes based on visual pattern recognition techniques. The fundamental system uses digitized data output from a KY-585 Vocoder, and two-dimensional discrete Fourier transforms with spatial frequency filters.. Two male speakers generated data for the computer processes which include a speaker adaptation routine. A relation to the human physiology is maintained through an elementary model. For a 39 word vocabulary, recognition rates reached 92 for the single speaker process, and 79 for an either-of-two-speaker process. Departures from visual pattern recognition techniques are introduced and proven effective. Author
- Voice Communications