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Title: US5930749: Monitoring, identification, and selection of audio signal poles with characteristic behaviors, for separation and synthesis of signal contributions
[ Derwent Title ]

Country: US United States of America

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10 pages

Inventor: Maes, Stephane Herman; Danbury, CT

Assignee: International Business Machines Corporation, Armonk, NY
other patents from INTERNATIONAL BUSINESS MACHINES CORPORATION (280070) (approx. 44,393)
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Published / Filed: 1999-07-27 / 1997-01-28

Application Number: US1997000787037

IPC Code: Advanced: G10L 11/02; G10L 21/02;
IPC-7: G10L 7/02; G10L 9/14;

ECLA Code: G10L21/0272; G10L25/78; S10L25/12;

U.S. Class: Current: 704/228; 704/219; 704/233; 704/262; 704/E11.003; 704/E21.012;
Original: 704/228; 704/219; 704/233; 704/262;

Field of Search: 704/219,228,233,262

Priority Number:
1997-01-28  US1997000787037
1996-02-02  US1996000011058P

Abstract:     A system for processing a signal representing acoustical information performs a linear predictive coding (LPC) analysis and segments the signal into music, speech and noise components (including channel noise and acoustic artifacts) in accordance with behavior, over time, of the poles describing the signal, resulting from the LPC analysis. Poles exhibiting behavior characteristic of speech, music and channel noise of interest may then be selected while other poles representing random noise or information which is not of interest are suppressed. A "cleaned" signal can then be synthesized, with or without additional pre-processing to further suppress unwanted components of the signal. Additionally or alternatively, tags can be applied to frames or groups of frames of the original signal to control application of decoding procedures or speech recognition algorithms. Alternatively, the synthesized "cleaned" signal may be used as an input to a vector quantizer for training of codebooks and channel assignments for optimal processing of the original signal.

Attorney, Agent or Firm: Whitham, Curtis & Whitham ; Tassinari, Esq., Robert P. ;

Primary / Asst. Examiners: Hudspeth, David R.; Smits, Talivaldis Ivars

Maintenance Status: E2 Expired  Check current status

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Parent Case:

    This application is a continuation-in-part of a provisional U.S. patent application Ser. No. 60/011,058, entitled Speaker Identification System, filed Feb. 2, 1996, priority of which is hereby claimed under 35 U.S.C. §119(e)(1) and which is hereby fully incorporated by reference.

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First Claim:
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Having thus described my invention, what I claim as new and desire to secure by Letters Patent is as follows:     1. A method for processing a signal representing acoustically transmitted information, said method including the steps of
  • analyzing said signal to derive poles of an expression representing a plurality of samples of said signal during a frame,
  • monitoring behavior of said poles over a period of time including at least two frames, and
  • selecting poles having a characteristic behavior as determined by said monitoring step from among poles derived by said analyzing step.

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Forward References: Show 14 U.S. patent(s) that reference this one

U.S. References: Go to Result Set: All U.S. references   |  Forward references (14)   |   Backward references (3)   |   Citation Link

Patent  Pub.Date  Inventor Assignee   Title
Get PDF - 31pp US5298674  1994-03 Yun  SamSung Electronics Co., Ltd. Apparatus for discriminating an audio signal as an ordinary vocal sound or musical sound
Get PDF - 13pp US5375188  1994-12 Serikawa et al.  Matsushita Electric Industrial Co., Ltd. Music/voice discriminating apparatus
Get PDF - 7pp US5457769  1995-10 Valley  Earmark, Inc. Method and apparatus for detecting the presence of human voice signals in audio signals
Foreign References: None

Other Abstract Info: DERABS G1999-286725 DERABS G1999-492636 DERABS G1999-492636 DERABS G1999-492854

Other References:
  • John D. Hoyt and Harry Wechsler, "Detection of Human Speech in Structured Noise," Proc. IEEE ICASSP 94, vol. II, pp. 237-240, Apr. 1994.
  • John D. Hoyt and Harry Wechsler, "RBF Models for Detection of Human Speech in Structured Noise", Proc. IEEE Conf. on Neural Networks, pp. 4493-4496, Jun. 1994.
  • John D. Hoyt and Harry Wechsler, "Detection of Human Speech using Hybrid Recognition Models," Proc. 12th International Conf. on Pattern Recognition, pp. 330-333, Oct. 1994.
  • Richard O. Duda and Peter E. Hart, Pattern Classification and Scene Analysis, Wiley-Interscience, p. 24, 1973.
  • John R. Deller, Jr., John G. Proakis, and John H. L. Hansen, Discrete-Time Processing of Speech Signals, Prentice-Hall, pp. 65 and 878, 1987.

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