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Title: US5018201: Speech recognition dividing words into two portions for preliminary selection
[ Derwent Title ]

Country: US United States of America

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11 pages

Inventor: Sugawara, Kazuhide; Tokyo, Japan

Assignee: International Business Machines Corporation, Armonk, NY
other patents from INTERNATIONAL BUSINESS MACHINES CORPORATION (280070) (approx. 44,393)
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Published / Filed: 1991-05-21 / 1988-11-30

Application Number: US1988000278055

IPC Code: Advanced: G10L 11/00; G10L 15/00; G10L 15/14;
IPC-7: G10L 5/06; G10L 9/00;

ECLA Code: G10L15/00; T05K999/99;

U.S. Class: Current: 704/252;
Original: 381/043; 381/041;

Field of Search: 381/041-50 364/513.5

Priority Number:
1987-12-04  JP1987000306091

Abstract:     A method and apparatus for automated speech recognition wherein an unknown speech input is divided into words on merit, the words are divided into fixed length leading portions and consequentially variable length remaining portions, both portions being further subdivided into fixed length plural frames, each frame being matched against a fixed set of features, determined to correspond to one of the same and tagged with a label representing that feature, the fixed length label string generated from the leading portion of a word being used to aggregate a probability value for the string by accessing individual probability values of occurrence from a leading portion table of labels against first portions of known words and the remaining portion label string being correspondingly processed against a separate remaining portion table, the two sets of aggregate values being compounded by word portion pairs and the words corresponding to the highest compounded values being selected as candidate words for further processing to produce a result, whereby execution of the first portion processing of a word can be undertaken while the remaining portion of the word is being received and the selection of candidates includes a measure of the time of occurrence of a determined feature in a word. The tables are established in a learning phase in which known words are input, divided, framed, featurised and labelled, the probability values for the labelled features being derived by accumulating time dependent weighting factors for given labels in given word, normalising the totals and smoothing the two sets of results.

Attorney, Agent or Firm: Schechter, Marc D. ;

Primary / Asst. Examiners: Harkcom, Gary V.; Knepper, David D.

Maintenance Status: E3 Expired  Check current status

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Designated Country: DE FR GB 

Family: Show 9 known family members

First Claim:
Show all 8 claims
I claim:     1. A speech recognition apparatus which converts inputted speech into a label for each predetermined time interval and performs speech recognition using label strings, said apparatus comprising:
  • a first memory means for storing, for each word in a vocabulary, a probability of producing each label in a label set at an arbitrary time interval in a fixed length first portion of an utterance of said word;
  • a second memory means for storing, for each word in said vocabulary, a probability of producing each label in said label set at an arbitrary time interval in a second portion following said first portion of the utterance of said word;
  • means for determining, upon the generation of a label for an inputted speech to be recognized, whether the label belongs to said first portion or said second portion;
  • means for outputting, when the generated label for said inputted speech belongs to said first portion, the probability of producing the label concerned at an arbitrary time interval in the first portion of the utterance of each word in said vocabulary wit reference to said first memory means;
  • means for outputting, when the generated label for said inputted speech belongs to said second portion, the probability of producing the label concerned at an arbitrary time interval in the second portion of the utterance of each word in said vocabulary with reference to said second memory means;
  • means for accumulating the probabilities outputted for each word;
  • means for specifying at least one candidate word in accordance with the magnitude of the accumulated value; and
  • means for performing detailed recognition for each of the specified candidate words.

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Forward References: Show 21 U.S. patent(s) that reference this one

U.S. References: Go to Result Set: All U.S. references   |  Forward references (21)   |   Backward references (5)   |   Citation Link

Patent  Pub.Date  Inventor Assignee   Title
Get PDF - 9pp US4513436  1985-04 Nose et al.  Oki Electric Industry, Co., Ltd. Speech recognition system
Get PDF - 11pp US4625287  1986-11 Matsuura et al.  Tokyo Shibaura Denki Kabushiki Kaisha Monosyllable recognition apparatus
Get PDF - 19pp US4718093  1988-01 Brown  Exxon Research and Engineering Company Speech recognition method including biased principal components
Get PDF - 79pp US4718094  1988-01 Bahl et al.  International Business Machines Corp. Speech recognition system
Get PDF - 39pp US4837831  1989-06 Gillick et al.  Dragon Systems, Inc. Method for creating and using multiple-word sound models in speech recognition
Foreign References:
Publication Date IPC Code Assignee   Title
Get PDF - 31pp EP0181167 1986-05  G10L 5/06 Deutsche ITT Industries GmbH Apparatus and method for identifying spoken words 

Other Abstract Info: DERABS G89-167170

Other References:
  • Matsuda et al., "A Method for Recognizing Japanese Monosyllables by Using Intermediate Cumulative Distance", Proceedings of the IEEE ICASSP, ICASSP '84, vol. 1, 19th-21st Mar. 1984, pp. 9.3.1-9.3.4.
  • Loeb, E. P. et al. "Experiments in Isolated Digit Recognition with a Cochlear Model." Proc. ICASSP '87, Apr. 1987, pp. 1131-1134.
  • Watanuki, O. et al. "Speaker Independent Isolated Word Recognition Using Label Histograms." Proc. ICASSP '86, Apr. 1986, pp. 2679-2682.

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