NOISE-ROBUST SPEECH CODING MODE CLASSIFICATION
First Claim
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1. A method of noise-robust speech classification, comprising:
- inputting classification parameters to a speech classifier from external components;
generating, in the speech classifier, internal classification parameters from at least one of the input parameters;
setting a Normalized Auto-correlation Coefficient Function threshold and selecting a parameter analyzer according to a signal environment; and
determining a speech mode classification based on a noise estimate of multiple frames of input speech.
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Abstract
A method of noise-robust speech classification is disclosed. Classification parameters are input to a speech classifier from external components. Internal classification parameters are generated in the speech classifier from at least one of the input parameters. A Normalized Auto-correlation Coefficient Function threshold is set. A parameter analyzer is selected according to a signal environment. A speech mode classification is determined based on a noise estimate of multiple frames of input speech.
41 Citations
47 Claims
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1. A method of noise-robust speech classification, comprising:
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inputting classification parameters to a speech classifier from external components; generating, in the speech classifier, internal classification parameters from at least one of the input parameters; setting a Normalized Auto-correlation Coefficient Function threshold and selecting a parameter analyzer according to a signal environment; and determining a speech mode classification based on a noise estimate of multiple frames of input speech. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33)
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34. An apparatus for noise-robust speech classification, comprising:
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a processor; memory in electronic communication with the processor; instructions stored in the memory, the instructions being executable by the processor to; input classification parameters to a speech classifier from external components; generate, in the speech classifier, internal classification parameters from at least one of the input parameters; set a Normalized Auto-correlation Coefficient Function threshold and selecting a parameter analyzer according to a signal environment; and determine a speech mode classification based on a noise estimate of multiple frames of input speech. - View Dependent Claims (35, 36, 37, 38, 39, 40, 41)
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42. An apparatus for noise-robust speech classification, comprising:
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means for inputting classification parameters to a speech classifier from external components; means for generating, in the speech classifier, internal classification parameters from at least one of the input parameters; means for setting a Normalized Auto-correlation Coefficient Function threshold and selecting a parameter analyzer according to a signal environment; and means for determining a speech mode classification based on a noise estimate of multiple frames of input speech. - View Dependent Claims (43, 44)
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45. A computer-program product for noise-robust speech classification, the computer-program product comprising a non-transitory computer-readable medium having instructions thereon, the instructions, comprising:
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code for inputting classification parameters to a speech classifier from external components; code for generating, in the speech classifier, internal classification parameters from at least one of the input parameters; code for setting a Normalized Auto-correlation Coefficient Function threshold and selecting a parameter analyzer according to a signal environment; and code for determining a speech mode classification based on a noise estimate of multiple frames of input speech. - View Dependent Claims (46, 47)
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Specification