US5734793A
Expired / Lapsed
US
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System for recognizing spoken sounds from continuous speech and method of using same
Assignee: Google Technology Holdings LLC
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Filing: 1996-08-29
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Granted: 1998-03-31
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Expires: 2016-08-29
Abstract
Abstract A system for recognizing spoken sounds from continuous speech includes a plurality of classifiers and a selector. Each of the classifiers implements a discriminant function which is based on a polynomial expansion. By determining the polynomial coefficients of a discriminant function, the corresponding classifier is tuned to classify a specific spoken sound. The selector utilizes the classifier outputs to identify the spoken sounds. A method of using the system is also provided.
Inventors
- 👤 Shay-Ping T. Wang
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-09 11:27
CPC Classifications
G; G10; G10L; G10L15/00; G10L15/28; G10L15/32; G10L15/02; G10L15/08; G10L15/10; G10L15/34; G10L15/20; G10L25/00; G10L25/27
Claims Analysis
Total Claims: 25
Claim 1
Independent Claim
121 words
A method of recognizing a spoken sound from continuously spoken speech, the continuously spoken speech including a plurality of spoken sounds, the method comprising the steps of: (a) extracting at least one feature from an interval of the continuously spoken speech; (b) distributing the at least one feature to a plurality of classifiers, each of the classifiers generating a classifier output signal as a function of a polynomial expansion that includes the at least one feature as an independent variable, whereby producing a plurality of classifier output signals; and (c) identifying the spoken sound by comparing the plurality of classifier output signals to one another in order to determine which of the plurality of classifier output signals has a largest magnitude.
Claim 2
Independent Claim
121 words
A method of recognizing a spoken sound from continuously spoken speech, the continuously spoken speech including a plurality of spoken sounds, the method comprising the steps of: (a) extracting at least one feature from an interval of the continuously spoken speech; (b) distributing the at least one feature to a plurality of classifiers, each of the classifiers generating a classifier output signal as a function of a polynomial expansion that includes the at least one feature as an independent variable, whereby producing a plurality of classifier output signals; and (c) identifying the spoken sound by comparing the plurality of classifier output signals to one another in order to determine which of the plurality of classifier output signals has a largest magnitude.
Claim 3
Dependent Claim
40 words
The method of claim 1, wherein each of the plurality of classifiers implements a respective polynomial expansion comprising a plurality of coefficients which have been adjusted during a prior training phase to classifiy a respective one of the spoken sounds.
Claim 4
Dependent Claim
25 words
The method of claim 1 wherein the at least one feature is selected from a group consisting of cepstral coefficients, predictive coefficients, and Fourier coefficients.
Claim 5
Dependent Claim
87 words
The method of claim 1, wherein the polynomial expansion has the form: ##EQU3## wherein y represents the classifier output signal; wherein i, m, and n are integers; wherein w i-1 represents the coefficient for the ith term; wherein x 1 , x 2 , . . . , x n represent one or more independent variables; and wherein g 1i , . . . , g ni represent the exponents for the ith term in the expansion which are applied to the one or more independent variables.
Claim 6
Dependent Claim
29 words
The method of claim 1, wherein steps (a)-(c) are repeated for a sequence of intervals of time to identify a sequence of spoken sounds from the continuously spoken speech.
Claim 7
Dependent Claim
16 words
The method of claim 5 wherein each interval of time has a duration of 10 milliseconds.
Claim 8
Dependent Claim
15 words
The method of claim 1 wherein the spoken sound is a word, character, or phoneme.
Claim 9
Dependent Claim
14 words
The method of claim 1 wherein the method is implemented by a computer program.
Claim 10
Independent Claim
109 words
A system for recognizing a spoken sound from continuously spoken speech having a plurality of spoken sounds, the system comprising: a plurality of classifiers for generating a plurality of classifier output signals, each of the classifiers receiving at least one feature extracted from an interval of the continuously spoken speech and generating a classifier output signal as a function of a polynomial expansion that includes the at least one feature as an independent variable; and a selector for identifying the spoken sound by comparing the plurality of classifier output signals to one another in order to determine which of the plurality of classifier output signals has a largest magnitude.
Claim 11
Independent Claim
109 words
A system for recognizing a spoken sound from continuously spoken speech having a plurality of spoken sounds, the system comprising: a plurality of classifiers for generating a plurality of classifier output signals, each of the classifiers receiving at least one feature extracted from an interval of the continuously spoken speech and generating a classifier output signal as a function of a polynomial expansion that includes the at least one feature as an independent variable; and a selector for identifying the spoken sound by comparing the plurality of classifier output signals to one another in order to determine which of the plurality of classifier output signals has a largest magnitude.
Claim 12
Dependent Claim
55 words
The system recited in claim 9 further comprising: a converter which receives the continuously spoken speech and generates a speech signal from the continuously spoken speech; a feature extractor for extracting the at least one feature from the speech signal; and a means for distributing the at least one feature to the plurality of classifiers.
Claim 13
Dependent Claim
25 words
The system of claim 9, wherein the at least one feature is selected from a group consisting of cepstral coefficients, predictive coefficients, and Fourier coefficients.
Claim 14
Dependent Claim
40 words
The system of claim 9, wherein each of the plurality of classifiers implements a respective polynomial expansion comprising a plurality of coefficients which have been adjusted during a prior training phase to classifiy a respective one of the spoken sounds.
Claim 15
Dependent Claim
87 words
The system of claim 9, wherein the polynomial expansion has the form: ##EQU4## wherein y represents the classifier output signal; wherein i, m, and n are integers; wherein w i-1 represents the coefficient for the ith term; wherein x 1 , x 2 , . . . , x n represent one or more independent variables; and wherein g 1i , . . . , g ni represent the exponents for the ith term in the expansion which are applied to the one or more independent variables.
Claim 16
Dependent Claim
15 words
The system of claim 9 wherein the spoken sound is a word, character, or phoneme.
Claim 17
Dependent Claim
14 words
The system of claim 9 wherein the system is implemented in a computer program.
Claim 18
Dependent Claim
21 words
The system of claim 9 wherein the plurality of classifiers and the selector are implemented using at least one integrated circuit.
Claim 19
Dependent Claim
20 words
The system of claim 9 wherein the selector identifies a spoken sound corresponding to a sequence of intervals of time.
Claim 20
Dependent Claim
18 words
The system of claim 17 wherein each of the intervals of time has a duration of 10 milliseconds.
Claim 21
Independent Claim
176 words
A method of recognizing a spoken sound from continuously spoken speech, the continuously spoken speech including a plurality of spoken sounds, the method comprising the steps of: (a) extracting at least one feature from an interval of the continuously spoken speech; (b) distributing the at least one feature to a plurality of classifiers, each of the classifiers generating a classifier output signal based on a polynomial expansion having a form ##EQU5## wherein y represents the classifier output signal, w i-1 represents a coefficient for the ith term, i, m, and n are integers, x 1 , x 2 , . . . , x n represent the at least one feature, and g 1i , . . . , g ni represent the exponents for the ith term in the expansion, whereby the plurality of classifiers produce a plurality of classifier output signals; and (c) identifying the spoken sound by comparing the plurality of classifier output signals to one another in order to determine which of the plurality of classifier output signals has a largest magnitude.
Claim 22
Independent Claim
176 words
A method of recognizing a spoken sound from continuously spoken speech, the continuously spoken speech including a plurality of spoken sounds, the method comprising the steps of: (a) extracting at least one feature from an interval of the continuously spoken speech; (b) distributing the at least one feature to a plurality of classifiers, each of the classifiers generating a classifier output signal based on a polynomial expansion having a form ##EQU5## wherein y represents the classifier output signal, w i-1 represents a coefficient for the ith term, i, m, and n are integers, x 1 , x 2 , . . . , x n represent the at least one feature, and g 1i , . . . , g ni represent the exponents for the ith term in the expansion, whereby the plurality of classifiers produce a plurality of classifier output signals; and (c) identifying the spoken sound by comparing the plurality of classifier output signals to one another in order to determine which of the plurality of classifier output signals has a largest magnitude.
Claim 23
Dependent Claim
32 words
The method of claim 19, wherein at least one term of said polynomial expansion includes at least two indepent variables corresponding to non-zero exponents and representing different dimensions in a feature space.
Claim 24
Dependent Claim
40 words
The method of claim 19, wherein each of the plurality of classifiers implements a respective polynomial expansion comprising a plurality of coefficients which have been adjusted during a prior training phase to classifiy a respective one of the spoken sounds.
Claim 25
Dependent Claim
25 words
The method of claim 19, wherein the at least one feature is selected from a group consisting of cepstral coefficients, predictive coefficients, and Fourier coefficients.
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USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 2001-03-30 | 2001-09-29 | 2002-03-31 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2005-03-30 | 2005-09-29 | 2006-03-31 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2009-03-30 | 2009-09-29 | 2010-03-31 | $7700.00 | Window Closed / Lapsed |