Patent US6594628B1 successfully refreshed from Google Patents.
US6594628B1
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Distributed voice recognition system
Assignee: Qualcomm Inc
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Filing: 1997-04-02
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Granted: 2003-07-15
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Expires: 2017-04-02
Abstract
Abstract A voice recognition system is disclosed wherein a feature extraction apparatus is located in a remote station. The feature extraction apparatus extracts features from an input speech frame and then provides the extracted features to a central processing station. In the central processing station, the features are provided to a word decoder which determines the syntax of the input speech frame.
Inventors
- 👤 Paul E. Jacobs
- 👤 Chienchung Chang
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-05 17:16
CPC Classifications
G; G10; G10L; G10L15/00; G10L15/28; G10L15/30; G10L15/02; G10L19/00
Claims Analysis
Total Claims: 10
Claim 1
Independent Claim
135 words
A method for providing voice recognition in a wireless communication system, the method comprising the steps of: providing a speech signal spoken by a user to a feature extractor located at a subscriber station; extracting a set of speech features from the speech signal in accordance with a predetermined feature extraction format; determining a speech meaning from the extracted speech features in accordance with a small vocabulary that is locally stored at the subscriber station; and if the speech meaning cannot be decoded by a first word decoder located at the at the subscriber station in accordance with the small vocabulary, then transmitting the extracted speech features to a central processing station using a second word decoder located at the central processing station to decode the extracted speech features in accordance with a larger vocabulary.
Claim 2
Independent Claim
135 words
A method for providing voice recognition in a wireless communication system, the method comprising the steps of: providing a speech signal spoken by a user to a feature extractor located at a subscriber station; extracting a set of speech features from the speech signal in accordance with a predetermined feature extraction format; determining a speech meaning from the extracted speech features in accordance with a small vocabulary that is locally stored at the subscriber station; and if the speech meaning cannot be decoded by a first word decoder located at the at the subscriber station in accordance with the small vocabulary, then transmitting the extracted speech features to a central processing station using a second word decoder located at the central processing station to decode the extracted speech features in accordance with a larger vocabulary.
Claim 3
Dependent Claim
19 words
The method recited in claim 1 wherein the set of speech features comprises linear spectrum pair (LSP) parameter data.
Claim 4
Dependent Claim
20 words
The method recited in claim 2 further comprises converting the LSP parameter data into linear predictive coding (LPC) parameter data.
Claim 5
Dependent Claim
33 words
The method recited in claim 1 , wherein the set of speech features are formed by encoding the speech signal in accordance with a variable rate code excited linear prediction (CELP) encoding format.
Claim 6
Independent Claim
143 words
A method for providing a distributed voice recognition system, the method comprising the steps of: processing a frame of speech samples at a subscriber station to determine acoustic features of the frame of speech samples; using a first word decoder located at the subscriber station to decode the acoustic features, wherein the first word decoder uses a small vocabulary to decode the acoustic features; transmitting the acoustic features from the subscriber station to a central processing station if the acoustic features cannot be decoded by the first word decoder; receiving the acoustic features at the central processing station; using a second word decoder located at the central processing station to decode the acoustic features, wherein the remote word decoder uses a larger vocabulary to decode the acoustic features; and transmitting the decoded acoustic features from the central processing station to the subscriber station.
Claim 7
Independent Claim
143 words
A method for providing a distributed voice recognition system, the method comprising the steps of: processing a frame of speech samples at a subscriber station to determine acoustic features of the frame of speech samples; using a first word decoder located at the subscriber station to decode the acoustic features, wherein the first word decoder uses a small vocabulary to decode the acoustic features; transmitting the acoustic features from the subscriber station to a central processing station if the acoustic features cannot be decoded by the first word decoder; receiving the acoustic features at the central processing station; using a second word decoder located at the central processing station to decode the acoustic features, wherein the remote word decoder uses a larger vocabulary to decode the acoustic features; and transmitting the decoded acoustic features from the central processing station to the subscriber station.
Claim 8
Dependent Claim
36 words
The method recited in claim 5 wherein processing the frame of speed samples to determine acoustic features comprises extracting the acoustic features of the frame of speech samples in accordance with a predetermined feature extraction format.
Claim 9
Independent Claim
135 words
A method for providing a distributed voice recognition system, the method comprising the steps of: extracting acoustic features of a frame of speech samples at a subscriber station; decoding the acoustic features in accordance with a small vocabulary using a first word decoder located at the subscriber station; transmitting the extracted acoustic features from the subscriber station to a central processing station if the extracted acoustic features cannot be decoded by the first word decoder; receiving the extracted acoustic features at the central processing station; and decoding the extracted acoustic features in accordance with a larger vocabulary using a second word decoder located at the central processing station, if the decoded acoustic features are associated with a local command signal, then transmitting the local command signal from the central processing station to the subscriber station.
Claim 10
Independent Claim
135 words
A method for providing a distributed voice recognition system, the method comprising the steps of: extracting acoustic features of a frame of speech samples at a subscriber station; decoding the acoustic features in accordance with a small vocabulary using a first word decoder located at the subscriber station; transmitting the extracted acoustic features from the subscriber station to a central processing station if the extracted acoustic features cannot be decoded by the first word decoder; receiving the extracted acoustic features at the central processing station; and decoding the extracted acoustic features in accordance with a larger vocabulary using a second word decoder located at the central processing station, if the decoded acoustic features are associated with a local command signal, then transmitting the local command signal from the central processing station to the subscriber station.
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USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
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| 3.5 Years (Year 4) | 2006-07-14 | 2007-01-13 | 2007-07-15 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2010-07-14 | 2011-01-13 | 2011-07-15 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2014-07-14 | 2015-01-13 | 2015-07-15 | $7700.00 | Window Closed / Lapsed |