A method for speaker independent connected word recognition is described. Speaker independence is achieved by clustering isolated word utterances of a 100 speaker population. Connected word recognition is based on a syntax-directed dynamic programming algorithm which matches the isolated word templates to sentence length utterances. The method has been tested on an artificial task-oriented language based on a 127 word vocabulary. Four subjects, two men and two women, spoke a total of 209 sentences comprising 1750 words. At an average speaking rate of 171 words/min over dialed-up telephone lines, a correct word recognition rate of 97 percent was observed.
|Original language||English (US)|
|Number of pages||5|
|Journal||IEEE Transactions on Acoustics, Speech, and Signal Processing|
|State||Published - Aug 1982|
ASJC Scopus subject areas
- Signal Processing