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Title: US5848163: Method and apparatus for suppressing background music or noise from the speech input of a speech recognizer
[ Derwent Title ]

Country: US United States of America

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8 pages

Inventor: Gopalakrishnan, Ponani; Yorktown Heights, NY
Nahamoo, David; White Plains, NY
Panmanabhan, Mukund; Ossining, NY
Polymenakos, Lazaros; White Plains, NY

Assignee: International Business Machines Corporation, Armonk, NY
other patents from INTERNATIONAL BUSINESS MACHINES CORPORATION (280070) (approx. 44,393)
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Published / Filed: 1998-12-08 / 1996-02-02

Application Number: US1996000594679

IPC Code: Advanced: G10K 11/178; G10L 21/02;
IPC-7: H04R 29/00;

ECLA Code: G10L21/0208; G10K11/178C; S10K210/108; S10K210/3018;

U.S. Class: Current: 381/056; 381/066; 381/094.1; 704/216; 704/217; 704/218; 704/E21.004;
Original: 381/056; 381/066; 381/094; 395/002.25; 395/002.26; 395/002.27;

Field of Search: 395/2.35,2.36,2.19,2.24,2.42,2.25-2.27 381/056,94,66 379/388-390,410-412

Government Interest:     The invention was developed under US Government Contract number 33690098 "Robust Context Dependent Models and Features for Continuous Speech Recognition". The US Government has certain rights to the invention.

Priority Number:
1996-02-02  US1996000594679

Abstract:     A method and apparatus for removing the effect of background music or noise from speech input to a speech recognizer so as to improve recognition accuracy has been devised. Samples of pure music or noise related to the background music or noise that corrupts the speech input are utilized to reduce the effect of the background in speech recognition. The pure music and noise samples can be obtained in a variety of ways. The music or noise corrupted speech input is segmented in overlapping segments and is then processed in two phases: first, the best matching pure music or noise segment is aligned with each speech segment; then a linear filter is built for each segment to remove the effect of background music or noise from the speech input and the overlapping segments are averaged to improve the signal to noise ratio. The resulting acoustic output can then be fed to a speech recognizer.

Primary / Asst. Examiners: Kuntz, Curtis; Nguyen, Duc

Maintenance Status: E2 Expired  Check current status

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Designated Country: DE GB 

Family: Show 6 known family members

First Claim:
Show all 17 claims
We claim:     1. A method for suppression of an unwanted feature from a string of input speech, comprising:
  • a) providing a string of speech containing the unwanted feature, referred to as corrupted input speech;
  • b) providing a reference signal representing the unwanted feature;
  • c) segmenting the corrupt input speech and the reference signal, respectively, into predetermined time segments;
  • d) finding for each time segment of the speech having the unwanted feature the time segment of the reference signal that best matches the unwanted feature;
  • e) removing the best matching time segment of the reference signal from the corresponding time segment of the corrupted input speech;
  • f) outputting a signal representing the speech with the unwanted features removed;
  • wherein the step of providing a reference signal representing the unwanted feature comprises passing speech containing unwanted features through a speech recover trained to recognize noise or music corrupted speech, the speech recognizer producing intervalled outputs corresponding to either the presence or non-presence of speech, wherein intervals marked as silence by the specially trained speech recognizer are pure music or pure noise and using the segments identified as having music or noise as the reference signals.

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Forward References: Show 20 U.S. patent(s) that reference this one

U.S. References: Go to Result Set: All U.S. references   |  Forward references (20)   |   Backward references (8)   |   Citation Link

Patent  Pub.Date  Inventor Assignee   Title
Get PDF - 15pp US4658426  1987-04 Chabries et al.  Antin; Harold Adaptive noise suppressor
Get PDF - 19pp US4829574  1989-05 Dewhurst et al.  The University of Melbourne Signal processing
Get PDF - 25pp US4852181  1989-07 Morito et al.  Oki Electric Industry Co., Ltd. Speech recognition for recognizing the catagory of an input speech pattern
Get PDF - 9pp US4956867  1990-09 Zurek et al.  Massachusetts Institute of Technology Adaptive beamforming for noise reduction
Get PDF - 7pp US5241692  1993-08 Harrison et al.  Motorola, Inc. Interference reduction system for a speech recognition device
Get PDF - 18pp US5305420  1994-04 Nakamura et al.  Nippon Hoso Kyokai Method and apparatus for hearing assistance with speech speed control function
Get PDF - 9pp US5568558  1996-10 Ramm et al.  International Business Machines Corporation Adaptive noise cancellation device
Get PDF - 7pp US5590206  1996-12 An et al.  Samsung Electronics Co., Ltd. Noise canceler
Foreign References: None

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