Abstract
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 a task oriented English-like 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 per minute over dialed-up telephone lines, a correct word recognition rate of 97% was observed.
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References
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© 1982 D. Reidel Publishing Company, Dordrecht, Holland
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Levinson, S.E. (1982). Speaker Independent Connected Word Recognition. In: Haton, JP. (eds) Automatic Speech Analysis and Recognition. NATO Advanced Study Institutes Series, vol 88. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-7879-9_10
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DOI: https://doi.org/10.1007/978-94-009-7879-9_10
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