Method and apparatus for performing observation probability calculations
First Claim
1. An observation probability calculation apparatus, comprising:
- a first operation unit subtracting a mean of first parameters extracted from representative phonemes from one of a plurality of second parameters extracted from an input voice signal and multiplying the result of the subtraction by a distribution degree of the mean to obtain a first output;
a second operation unit squaring the first output of the first operation unit and accumulating the result of the squaring N times to obtain a second output;
a third operation unit subtracting a given weighted value from the second output of the second operation unit to obtain a third output; and
a comparator storing the third outputs of the third operation unit, extracting L outputs from the third outputs of the third operation unit, and storing the extracted L outputs in order of magnitude;
wherein the extracted L outputs are used for voice recognition.
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Abstract
A method and apparatus for calculating an observation probability includes a first operation unit that subtracts a mean of a first plurality of parameters of an input voice signal from a second parameter of an input voice signal, and multiplies the subtraction result to obtain a first output. The first output is squared and accumulated N times in a second operation unit to obtain a second output. A third operation unit subtracts a given weighted value from the second output to obtain a third output, and a comparator stores the third output for a comparator stores the third output in order to extract L outputs therefrom, and stores the L extracted outputs based on an order of magnitude of the extracted L outputs.
17 Citations
22 Claims
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1. An observation probability calculation apparatus, comprising:
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a first operation unit subtracting a mean of first parameters extracted from representative phonemes from one of a plurality of second parameters extracted from an input voice signal and multiplying the result of the subtraction by a distribution degree of the mean to obtain a first output; a second operation unit squaring the first output of the first operation unit and accumulating the result of the squaring N times to obtain a second output; a third operation unit subtracting a given weighted value from the second output of the second operation unit to obtain a third output; and a comparator storing the third outputs of the third operation unit, extracting L outputs from the third outputs of the third operation unit, and storing the extracted L outputs in order of magnitude; wherein the extracted L outputs are used for voice recognition. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A computer-implemented method of calculating an observation probability, comprising:
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subtracting a mean of a plurality of first parameters extracted from a representative group of an input voice signal from one of a plurality of second parameters extracted from the input voice signal to obtain a result; multiplying the result to obtain a first output; squaring the first output; and accumulating the squared first output according to a number of the representative group and a number of the second parameters to obtain an observation probability value; wherein the observation probability value is used for voice recognition. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20)
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21. A computer-implemented method of recognizing a voice signal, comprising:
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subtracting a mean of a plurality of first parameters extracted from a representative group of an input voice signal from one of a plurality of second parameters extracted from the input voice signal to obtain a result; multiplying the result to obtain a first output; squaring the first output; accumulating the squared first output according to a number of the representative group and a number of the second parameters to obtain a second output; subtracting a given weighted value from the second output to obtain a third output; extracting L outputs from the third output; and selecting an L output having a greatest order of magnitude, the selected L output corresponding to the recognized voice signal. - View Dependent Claims (22)
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Specification