Speaker-dependent isolated word recognition using speaker-independent vector quantization codebooks augmented with speaker-specific data
IEEE Transactions on Acoustics Speech and Signal ProcessingPublished 1 April 1985
D. Burton, John E. Shore
Citations4
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TL;DR
A hybrid approach to speaker-dependent isolated word recognition that merges speaker-specific information obtained from a single training utterance with multisection vector quantization codebooks that were designed for speaker-independent recognition is discussed.
Abstract
A hybrid approach to speaker-dependent isolated word recognition is discussed. The approach merges speaker-specific information obtained from a single training utterance with multisection vector quantization codebooks that were designed for speaker-independent recognition. The approach provides easily trained, computationally efficient, and accurate isolated word recognition. On the digits, the approach achieved an error rate less than 1 percent.
Keywords
Computer Science
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