Patent US6021387A successfully refreshed from Google Patents.
US6021387A
Expired / Lapsed
US
⏱️ 0.0 years remaining
Speech recognition apparatus for consumer electronic applications
Assignee: Sensory Circuits Inc
•
Filing: 1998-02-23
•
Granted: 2000-02-01
•
Expires: 2018-02-23
Abstract
Abstract A spoken word or phrase recognition device. The device does not require a digital signal processor, large RAM, or extensive analog circuitry. The input audio signal is digitized and passed recursively through a digital difference filter to produce a multiplicity of filtered output waveforms. These waveforms are processed in real time by a microprocessor to generate a pattern that is recognized by a neural network pattern classifier that operates in software in the microprocessor. By application of additional techniques, this device has been shown to recognize an unknown speaker saying a digit from zero through nine with an accuracy greater than 99%. Because of the recognition accuracy and cost-effective design, the device may be used in cost sensitive applications such as toys, electronic learning aids, and consumer electronic products.
Inventors
- 👤 Forrest S. Mozer
- 👤 Michael C. Mozer
- 👤 Todd F. Mozer
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-03 15:45
CPC Classifications
G; G10; G10L; G10L15/00; G10L15/08; G10L15/16
Claims Analysis
Total Claims: 9
Claim 1
Independent Claim
97 words
A neural network for classifying sampled signals into a plurality of classes comprising: a representation transformer that accepts samples of a selected signal as input, applies a transformation to the input signal to transform the input signal into a representational space, and outputs a transformed signal, wherein the transformation distributes sampled signals belonging to a given class within the representational space in accordance with a predetermined distribution associated with the given class; and a Bayes classifier that accepts the transformed signal as an input and assigns the input signal to a class with the highest posterior probability.
Claim 2
Dependent Claim
97 words
A neural network for classifying sampled signals into a plurality of classes comprising: a representation transformer that accepts samples of a selected signal as input, applies a transformation to the input signal to transform the input signal into a representational space, and outputs a transformed signal, wherein the transformation distributes sampled signals belonging to a given class within the representational space in accordance with a predetermined distribution associated with the given class; and a Bayes classifier that accepts the transformed signal as an input and assigns the input signal to a class with the highest posterior probability.
Claim 3
Dependent Claim
24 words
The neural network of claim 1 wherein the predetermined distribution for at least one of the plurality of classes is a multivariate Gaussian distribution.
Claim 4
Dependent Claim
24 words
The neural network of claim 1 wherein the predetermined distribution for at least one of said plurality of classes is a multivariate beta distribution.
Claim 5
Dependent Claim
19 words
The neural network of claim 1 wherein the predetermined distribution has a covariance matrix that is a diagonal matrix.
Claim 6
Dependent Claim
32 words
The neural network of claim 1 wherein weights of the neural network and parameters of a predetermined distribution associated with one of the plurality of classes are obtained by an optimization procedure.
Claim 7
Dependent Claim
16 words
The neural network of claim 5 wherein the optimization procedure is a method of steepest descent.
Claim 8
Dependent Claim
19 words
The neural network of claim 1 wherein the mean of each predetermined distribution associated with a class is adjustable.
Claim 9
Dependent Claim
19 words
The neural network of claim 1 wherein said Bayes classifier accepts prior probabilities for each class as an input.
References Cited (Backward Citations)
US4897878A
Cited
US5255342A
Cited
US5295190A
Cited
US5455892A
Cited
US5568591A
Cited
US5355432A
Cited
US5475792A
Cited
US5323459A
Cited
US5465321A
Cited
US5758023A
Cited
US5706394A
Cited
USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 2003-01-31 | 2003-08-02 | 2004-02-01 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2007-01-31 | 2007-08-02 | 2008-02-01 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2011-01-31 | 2011-08-02 | 2012-02-01 | $7700.00 | Window Closed / Lapsed |