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Title: US5799278: Speech recognition system and method using a hidden markov model adapted to recognize a number of words and trained to recognize a greater number of phonetically dissimilar words.
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Country: US United States of America

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11 pages

 
Inventor: Cobbett, Michael; Eastleigh, United Kingdom
Pickering, John Brian; Winchester, United Kingdom

Assignee: International Business Machines Corporation, Armonk, NY
other patents from INTERNATIONAL BUSINESS MACHINES CORPORATION (280070) (approx. 44,393)
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Published / Filed: 1998-08-25 / 1996-07-02

Application Number: US1996000673862

IPC Code: Advanced: G10L 15/14; G10L 15/06;
IPC-7: G10L 5/00;

ECLA Code: G10L15/14M; S10L15/063C;

U.S. Class: Current: 704/256; 704/003; 704/232; 704/E15.028;
Original: 704/256; 704/003; 704/232;

Field of Search: 395/2.54,2.53,2.52,2.65,2.64,2.86,2.6,2.51,2.66,2.44,2.59,759,77,23,20 704/232,236,200

Priority Number:
1995-09-15  GB1995000018949

Abstract:     A speech recognition system for discrete words uses a single Hidden Markov Model (HMM), which is nominally adapted to recognise N different isolated words, but which is trained to recognise M different words, where M>N. This is achieved by providing M sets of audio recordings, each set comprising multiple recordings of a respective one of said M words being spoken. Only N different labels are assigned to the M sets of audio recordings, so that at least one of the N labels has two or more sets of audio recordings assigned thereto. These two or more sets of audio recordings correspond to phonetically dissimilar words. The HMM is then trained by inputting each set of audio recordings and its assigned label. The HMM can effectively compensate for the phonetic variations between the different words assigned the same label, thereby avoiding the need to utilise a larger model (i.e., to use M labels).

Primary / Asst. Examiners: Hudspeth, David R.; Storm, Donald L.

Maintenance Status: E2 Expired  Check current status

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Designated Country: CA CN EP US 

Family: Show 4 known family members

First Claim:
Show all 13 claims
We claim:     1. A speech recognition system for discrete words, comprising:
  • interface means for receiving incoming voice signals;
  • processing means, operatively coupled to said interface means, for processing said incoming voice signals;
  • program means, responsive to said processed voice signals from said processing means, for performing speech recognition on said processed voice signals, said program means using a single Hidden Markov Model (HMM), said HMM nominally being adapted to recognise N different words, characterised in that said HMM is trained to recognise M different words, where M>N, said M words being phonetically dissimilar from one another.


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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 (5)   |   Citation Link

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Patent  Pub.Date  Inventor Assignee   Title
Get PDF - 10pp US5046099  1991-09 Nishimura  International Business Machines Corporation Adaptation of acoustic prototype vectors in a speech recognition system
Get PDF - 13pp US5502791  1996-03 Nishimura et al.  International Business Machines Corporation Speech recognition by concatenating fenonic allophone hidden Markov models in parallel among subwords
Get PDF - 19pp US5526465  1996-06 Carey et al.  Ensigma Limited Methods and apparatus for verifying the originator of a sequence of operations
Get PDF - 12pp US5572624  1996-11 Sejnoha  Kurzweil Applied Intelligence, Inc. Speech recognition system accommodating different sources
Get PDF - 4pp US5615301  1997-03 Rivers   Automated language translation system
       
Foreign References:
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Publication Date IPC Code Assignee   Title
Get PDF - 41pp WO9206468 1992-04  G10L 5/06 BRIDLE, John, Scott METHODS AND APPARATUS FOR VERIFYING THE ORIGINATOR OF A SEQUENCE OF OPERATIONS 


Other Abstract Info: DERABS G1997-202426

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