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US5638486A
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Method and system for continuous speech recognition using voting techniques
Assignee: Google Technology Holdings LLC
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Filing: 1994-10-26
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Granted: 1997-06-10
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Expires: 2014-10-26
Abstract
Abstract In a speech-recognition system having a plurality of classifiers, a voting window includes a sequence of outputs from each of the classifiers. For each classifier, a voting sum is generated corresponding to the voting window. A spoken sound is identified by determining which classifier corresponds to the greatest voting sum.
Inventors
- 👤 Shay-Ping T. Wang
- 👤 Michael K. Lindsey
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-10-29 04:44
CPC Classifications
G; G10; G10L; G10L15/00; G10L15/08; G10L15/10; G10L15/02
Claims Analysis
Total Claims: 24
Claim 1
Independent Claim
153 words
In a speech-recognition system having a plurality of classifiers, a method of identifying a spoken sound, comprising the following steps: (a) receiving a plurality of classifier output signals from the classifiers corresponding to an interval, each of the classifier output signals having been generated according to a polynomial discriminant function; (b) ranking by magnitude the classifier output signals to produce a rank-order of classifier output signals corresponding to the interval; (c) weighting each position in the rank-order to transform the classifier output signals into a plurality of weighted values; (d) repeating steps (a)-(c) for a plurality of intervals, whereby generating a plurality of weighted value sequences, each of the weighted value sequences corresponding to a respective one of the plurality of classifiers; (e) summing each of the weighted value sequences to generate a voting sum for each classifier; and (f) identifying the spoken sound by selecting the voting sum having a largest magnitude.
Claim 2
Dependent Claim
153 words
In a speech-recognition system having a plurality of classifiers, a method of identifying a spoken sound, comprising the following steps: (a) receiving a plurality of classifier output signals from the classifiers corresponding to an interval, each of the classifier output signals having been generated according to a polynomial discriminant function; (b) ranking by magnitude the classifier output signals to produce a rank-order of classifier output signals corresponding to the interval; (c) weighting each position in the rank-order to transform the classifier output signals into a plurality of weighted values; (d) repeating steps (a)-(c) for a plurality of intervals, whereby generating a plurality of weighted value sequences, each of the weighted value sequences corresponding to a respective one of the plurality of classifiers; (e) summing each of the weighted value sequences to generate a voting sum for each classifier; and (f) identifying the spoken sound by selecting the voting sum having a largest magnitude.
Claim 3
Dependent Claim
23 words
The method of claim 1 further comprising the step of: generating a system output which includes a class label representing the spoken sound.
Claim 4
Dependent Claim
48 words
The method of claim 1 wherein the polynomial discriminant function has a form ##EQU3## wherein x j represents a plurality of features; wherein i, j, m and n are integers, y represents a classifier output signal; wherein w i represents a coefficient; wherein g ji represents an exponent.
Claim 5
Dependent Claim
34 words
The method of claim 3, wherein the polynomial discriminant function has the form ##EQU4## wherein a 0 represents a zero-order coefficient, b i represents a first-order coefficient, and c ij represents a second-order coefficient.
Claim 6
Dependent Claim
18 words
The method of claim 1 wherein the speech-recognition system identifies a plurality of spoken sounds from continuous speech.
Claim 7
Dependent Claim
14 words
The method of claim 1 wherein steps (a)-(c) are repeated for three successive intervals.
Claim 8
Dependent Claim
20 words
The method of claim 1 wherein the spoken sound is selected from the group consisting of word, syllable, and phoneme.
Claim 9
Independent Claim
241 words
A method for recognizing a spoken sound from continuous speech, comprising the following steps: (a) receiving the continuous speech; (b) sampling the continuous speech, over time, to form a sequence of sample datum which represents the continuous speech; (c) partitioning the sequence of sample datum into a sequence of data frames, each of the sequence of data frames includes at least two of the sequence of sample datum; (d) extracting a plurality of features from the sequence of data frames; (f) forming a sequence of feature frames from the plurality of features; (g) distributing one of the sequence of feature frames to a plurality of classifiers, each of the classifiers generating a classifier output signal in response thereto according to a polynomial discriminant function, whereby producing a plurality of classifier output signals; (h) ranking by magnitude the classifier output signals to produce a rank-order of classifier output signals corresponding to the distributed feature frame: (i) weighting each position in the rank-order to transform the classifier output signals into a plurality of weighted values; (j) repeating steps (g)-(i) for each feature frame included in the sequence of feature frames, whereby generating a plurality of weighted value sequences, each of the weighted value sequences corresponding to a respective one of the classifiers; (k) summing each of the weighted value sequences to generate a voting sum for each classifier; and (l) identifying the spoken sound by selecting the voting sum having a largest magnitude.
Claim 10
Independent Claim
241 words
A method for recognizing a spoken sound from continuous speech, comprising the following steps: (a) receiving the continuous speech; (b) sampling the continuous speech, over time, to form a sequence of sample datum which represents the continuous speech; (c) partitioning the sequence of sample datum into a sequence of data frames, each of the sequence of data frames includes at least two of the sequence of sample datum; (d) extracting a plurality of features from the sequence of data frames; (f) forming a sequence of feature frames from the plurality of features; (g) distributing one of the sequence of feature frames to a plurality of classifiers, each of the classifiers generating a classifier output signal in response thereto according to a polynomial discriminant function, whereby producing a plurality of classifier output signals; (h) ranking by magnitude the classifier output signals to produce a rank-order of classifier output signals corresponding to the distributed feature frame: (i) weighting each position in the rank-order to transform the classifier output signals into a plurality of weighted values; (j) repeating steps (g)-(i) for each feature frame included in the sequence of feature frames, whereby generating a plurality of weighted value sequences, each of the weighted value sequences corresponding to a respective one of the classifiers; (k) summing each of the weighted value sequences to generate a voting sum for each classifier; and (l) identifying the spoken sound by selecting the voting sum having a largest magnitude.
Claim 11
Dependent Claim
23 words
The method of claim 8, further comprising the step of: generating a system output which includes a class label representing the spoken sound.
Claim 12
Dependent Claim
53 words
The method of claim 8 wherein the polynomial discriminant function has a form ##EQU5## wherein x j represents the features included in the distributed feature frame; wherein i, j, m and n are integers, wherein y represents the classifier output signal; wherein w i represents a coefficient; wherein g ji represents an exponent.
Claim 13
Dependent Claim
34 words
The method of claim 10, wherein the polynomial discriminant function has the form ##EQU6## wherein a 0 represents a zero-order coefficient, b i represents a first-order coefficient, and c ij represents a second-order coefficient.
Claim 14
Dependent Claim
19 words
The method of claim 8 wherein the speech-recognition system recognizes a plurality of spoken sounds from the continuous speech.
Claim 15
Dependent Claim
16 words
The method of claim 8 wherein the sequence of feature frames consists of three feature frames.
Claim 16
Dependent Claim
20 words
The method of claim 8 wherein the spoken sound is selected from the group consisting of word, syllable, and phoneme.
Claim 17
Dependent Claim
210 words
A speech-recognition system for identifying a spoken sound and having a plurality of classifiers, comprising: receiving means for receiving a plurality of classifier output signals from the classifiers corresponding to an interval, each of the classifier output signals having been generated according to a polynomial discriminant function; ranking means, associatively coupled to the receiving means, for ranking by magnitude the classifier output signals to produce a rank-order of classifier output signals corresponding to the interval; weighting means, associatively coupled to the ranking means, for weighting each position in the rank-order to transform the classifier output signals into a plurality of weighted values; summing means, associatively coupled to the weighting means, for respectively summing a plurality of weighted value sequences to generate a plurality of voting sums, each of the voting sums corresponding to a respective one of the plurality of classifiers; and identifying means, associatively coupled to the summing means, for identifying the spoken sound by selecting from the plurality of voting sums a voting sum having a largest magnitude the subsequence to produce a voting sum for each of the plurality of classifiers, wherein the receiving means, the defining means, and the weighting means cooperatively function over a plurality of intervals to generate the plurality of weighted value sequences.
Claim 18
Dependent Claim
210 words
A speech-recognition system for identifying a spoken sound and having a plurality of classifiers, comprising: receiving means for receiving a plurality of classifier output signals from the classifiers corresponding to an interval, each of the classifier output signals having been generated according to a polynomial discriminant function; ranking means, associatively coupled to the receiving means, for ranking by magnitude the classifier output signals to produce a rank-order of classifier output signals corresponding to the interval; weighting means, associatively coupled to the ranking means, for weighting each position in the rank-order to transform the classifier output signals into a plurality of weighted values; summing means, associatively coupled to the weighting means, for respectively summing a plurality of weighted value sequences to generate a plurality of voting sums, each of the voting sums corresponding to a respective one of the plurality of classifiers; and identifying means, associatively coupled to the summing means, for identifying the spoken sound by selecting from the plurality of voting sums a voting sum having a largest magnitude the subsequence to produce a voting sum for each of the plurality of classifiers, wherein the receiving means, the defining means, and the weighting means cooperatively function over a plurality of intervals to generate the plurality of weighted value sequences.
Claim 19
Dependent Claim
23 words
The speech-recognition system of claim 15 wherein the identifying means generates a system output which includes a class label representing the spoken sound.
Claim 20
Dependent Claim
49 words
The speech-recognition system of claim 15, wherein the polynomial discriminant function has a form ##EQU7## wherein x j represents a plurality of features; wherein i, j, m and n are integers, y represents a classifier output signal; wherein w i represents a coefficient; wherein g ji represents an exponent.
Claim 21
Dependent Claim
34 words
The method of claim 17, wherein the polynomial discriminant function has the form ##EQU8## wherein a 0 represents a zero-order coefficient, b i represents a first-order coefficient, and c ij represents a second-order coefficient.
Claim 22
Dependent Claim
19 words
The speech-recognition system of claim 15 wherein the speech-recognition system identifies a plurality of spoken sounds from continuous speech.
Claim 23
Dependent Claim
22 words
The speech-recognition system of claim 15 wherein the subsequence includes a sequence of three outputs from one of the plurality of classifiers.
Claim 24
Dependent Claim
21 words
The speech-recognition system of claim 15 wherein the spoken sound is selected from the group consisting of word, syllable, and phoneme.
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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) | 2000-06-09 | 2000-12-09 | 2001-06-10 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2004-06-09 | 2004-12-09 | 2005-06-10 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2008-06-09 | 2008-12-09 | 2009-06-10 | $7700.00 | Window Closed / Lapsed |