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Discrete utterance speech recognition without time normalization | IEEE Conference Publication | IEEE Xplore

Discrete utterance speech recognition without time normalization


Abstract:

We present a new, fast method for discrete utterance recognition of telephone bandwidth speech. The method is based on speech coding by vector quantization and minimum cr...Show More

Abstract:

We present a new, fast method for discrete utterance recognition of telephone bandwidth speech. The method is based on speech coding by vector quantization and minimum cross-entropy pattern classification. Separate vector quantization codebooks are designed from training sequences for each word in the recognition vocabulary. Inputs from outside the training sequence are classified by performing vector quantization and finding the codebook that achieves the lowest average distortion per speech frame. The new method obviates time normalization and uses approximately 6000 bits to represent each utterance in the recognition vocabulary. Preliminary limited testing on speaker dependent digit recognition has demonstrated excellent performance. Detailed tests are now in progress.
Date of Conference: 03-05 May 1982
Date Added to IEEE Xplore: 29 January 2003
Conference Location: Paris, France

References

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