Method for voice recognition
First Claim
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1. A method of voice recognition (VR), comprising:
- recording a plurality of utterances;
extracting features of the plurality of utterances to generate extracted features of the plurality of utterances;
creating a plurality of VR models from the extracted features of the plurality of utterances; and
lossy-compressing the plurality of VR models to generate a plurality of lossy-compressed VR models.
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Abstract
A method improves voice recognition by improving storage of voice recognition (VR) templates. The improved storage means that more VR models can be stored in memory. The more VR models that are stored in memory, the more robust the VR system, and therefore the more accurate the VR system. Lossy compression techniques are used to compress VR models. In one embodiment, Mu-law compression and A-law expansion are used to compress and expand VR models. In another embodiment, Mu-law compression and Mu-law expansion are used to compress and expand VR models. VR models are compressed during a training process, and they are expanded during voice recognition.
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7 Claims
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1. A method of voice recognition (VR), comprising:
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recording a plurality of utterances; extracting features of the plurality of utterances to generate extracted features of the plurality of utterances; creating a plurality of VR models from the extracted features of the plurality of utterances; and lossy-compressing the plurality of VR models to generate a plurality of lossy-compressed VR models. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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Specification