US5970446A
Expired / Lapsed
US
⏱️ 0.0 years remaining
Selective noise/channel/coding models and recognizers for automatic speech recognition
Assignee: Nuance Communications Inc
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Filing: 1997-11-25
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Granted: 1999-10-19
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Expires: 2017-11-25
Abstract
Abstract An apparatus and method for the robust recognition of speech during a call in a noisy environment is presented. Specific background noise models are created to model various background noises which may interfere in the error free recognition of speech. These background noise models are then used to determine which noise characteristics a particular call has. Once a determination has been made of the background noise in any given call, speech recognition is carried out using the appropriate background noise model.
Inventors
- 👤 Randy G. Goldberg
- 👤 Kenneth H. Rosen
- 👤 Richard M. Sachs
- 👤 Joel A. Winthrop, III
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-03 02:34
CPC Classifications
G; G10; G10L; G10L15/00; G10L15/20
Claims Analysis
Total Claims: 15
Claim 1
Independent Claim
61 words
A method for the robust recognition of speech in a noisy environment, comprising the steps of: receiving the speech; recording an amount of data related to the noisy environment; analyzing the recorded data; selecting at least one appropriate background noise model on the basis of the recorded data; and performing speech recognition with the at least one selected background noise model.
Claim 2
Independent Claim
61 words
A method for the robust recognition of speech in a noisy environment, comprising the steps of: receiving the speech; recording an amount of data related to the noisy environment; analyzing the recorded data; selecting at least one appropriate background noise model on the basis of the recorded data; and performing speech recognition with the at least one selected background noise model.
Claim 3
Dependent Claim
29 words
The method according to claim 1, further comprising the step of: modeling at least one background noise in a noisy environment to create at least one background noise model.
Claim 4
Dependent Claim
53 words
The method according to claim 1, further comprising the step of: determining the correctness of the at least one selected background noise model, wherein if the at least one selected model is determined to be incorrect, loading at least one other background noise model for use in the step of performing speech recognition.
Claim 5
Dependent Claim
27 words
The method according to claim 1, further comprising the step of: constructing a background noise database for use in analyzing the recorded data on the noisy environment.
Claim 6
Dependent Claim
22 words
The method according to claim 4, wherein the background noise database is dynamically updated for each location from which data is recorded.
Claim 7
Dependent Claim
27 words
The method according to claim 1, wherein the step of analyzing the recorded data is accomplished by using at least one of a plurality of signal information.
Claim 8
Dependent Claim
34 words
The method according to claim 1, wherein the step of analyzing the recorded data is accomplished by using a correct match percentage for a plurality of background noise models determined by an input response.
Claim 9
Dependent Claim
20 words
The method according to claim 1, wherein the step of performing speech recognition is accomplished by at least one recognizer.
Claim 10
Independent Claim
47 words
A method for improving recognition of speech subjected to noise, the method comprising the steps of: sampling a connection noise; searching a database for a noise model most closely matching the sampled connection noise; and applying the most closely matching noise model to a speech recognition process.
Claim 11
Independent Claim
47 words
A method for improving recognition of speech subjected to noise, the method comprising the steps of: sampling a connection noise; searching a database for a noise model most closely matching the sampled connection noise; and applying the most closely matching noise model to a speech recognition process.
Claim 12
Dependent Claim
46 words
The method according to claim 9, wherein the connection noise includes at least one of city noise, motor vehicle noise, truck noise, traffic noise, airport noise, subway train noise, cellular interference noise, channel condition noise, telephone microphone characteristics noise, cellular coding noise, and Internet connection noise.
Claim 13
Dependent Claim
19 words
The method according to claim 9, wherein the noise model is constructed by modeling at least one connection noise.
Claim 14
Dependent Claim
36 words
The method according to claim 9, wherein when a speech recognition error rate is determined to be above a predetermined level, the system substitutes the applied noise model by applying at least one other noise model.
Claim 15
Dependent Claim
15 words
The method according to claim 9, wherein at least one speech recognition unit is used.
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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) | 2002-10-18 | 2003-04-19 | 2003-10-19 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2006-10-18 | 2007-04-19 | 2007-10-19 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2010-10-18 | 2011-04-19 | 2011-10-19 | $7700.00 | Window Closed / Lapsed |