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US 2009/0024390 A1Published application
Multi-Class Constrained Maximum Likelihood Linear Regression
AssigneeNuance Communications, Inc.
InventorsNeeraj Deshmukh, Puming Zhan
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Abstract
A method of speech recognition converts an unknown speech input into a stream of representative features. The feature stream is transformed based on speaker dependent adaptation of multi-class feature models. Then automatic speech recognition is used to compare the transformed feature stream to multi-class speaker independent acoustic models to generate an output representative of the unknown speech input.
Claims20
A method of speech recognition comprising:
- converting an unknown speech input into a stream of representative features;
- transforming the feature stream based on speaker dependent adaptation of multi-class feature models;
- and
- using automatic speech recognition to compare the transformed feature stream to multi-class speaker independent acoustic models to generate an output representative of the unknown speech input.
1 more element
A system for speech recognition comprising:
- means for converting an unknown speech input into a stream of representative features;
- means for transforming the feature stream based on speaker dependent adaptation of multi-class feature models;
- and
- means for using automatic speech recognition to compare the transformed feature stream to multi-class speaker independent acoustic models to generate an output representative of the unknown speech input.
1 more element
Dependencies are inferred from the claim text.