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Title: US5797122: Method and system using separate context and constituent probabilities for speech recognition in languages with compound words
[ Derwent Title ]

Country: US United States of America

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8 pages

Inventor: Spies, Marcus; Heidelberg, Germany

Assignee: International Business Machines Corporation, Armonk, NY
other patents from INTERNATIONAL BUSINESS MACHINES CORPORATION (280070) (approx. 44,393)
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Published / Filed: 1998-08-18 / 1996-11-18

Application Number: US1996000737840

IPC Code: Advanced: G10L 15/197;
IPC-7: G10L 5/06;

ECLA Code: G10L15/197;

U.S. Class: Current: 704/255; 704/252; 704/E15.023;
Original: 704/255; 704/252;

Field of Search: 704/251,252,255,256,257

Priority Number:
1995-03-20  DE1995019510083

Abstract:     PCT No. PCT/EP95/02184 Sec. 371 Date Nov. 18, 1996 Sec. 102(e) Date Nov. 18, 1996 PCT Filed Jun. 7, 1995 PCT Pub. No. WO96/29695 PCT Pub. Date Sep. 26, 1996In a method and system for speech recognition in the case of languages containing compound words only components of compound words are stored in a language model. Only these components are handled in the vocabulary. In recognizing possible compound words separate processing paths are set up for the corresponding components of compound words and for possible individual words, in which specific language model statistics are calculated. The basis for the language model statistics is the breakdown of the probabilities, in which the context and the constituents of a compound word are taken into account separately. For this, use is made of the fact, known from linguistics, that grammar-determining components of a compound word are, as a rule, to be found at the end of the compound word, where this constituent of the compound word provides information on gender, case and number of the compound word. The invention is particularly suitable for real-time speech recognition in discrete and continuous dictation.

Attorney, Agent or Firm: Murray, James E. ;

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

Maintenance Status: E1 Expired  Check current status

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Designated Country: EP JP US 

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First Claim:
Show all 16 claims
I claim:     1. A method for speech recognition in languages with compound words, comprising the following steps:
  • storing phonetic transcriptions of words and components of compound words in a first storage area,
  • calculating n-gram frequencies (language model) for the probability of a compound word within a sequence of N words with use of a previously processed body of text, and storing the frequencies in a second storage area;
  • recording and digitizing the acoustic speech signal and storing the digitized speech signal in a third storage area, wherein by means of signal processing based on the phonetic transcriptions, approximately determining the words and boundaries of compound words and deriving hypothetical sequences of words or candidates for compound words therefrom;
  • establishing separate processing paths for sequences of candidates for words and compound words;
  • statistically evaluating the processing paths by means of the n-gram frequencies, where likelihood profiles are generated from the sequence of n-gram frequencies of words or components of compound words of each processing path; and
  • fully evaluating the processing paths with regard to the goodness of acoustic fit and the statistical probability of the language model.

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PCT Number: PCT/EP95/02184    WO9629695

PCT Pub./Filed Dates: 1996-09-26 / 1995-06-07

§ 371 / 102(e) Dates: 1996-11-18 / 1996-11-18

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 (0)   |   Citation Link

Foreign References:
Publication Date IPC Code Assignee   Title
Get PDF - 12pp EP0421744A2 1989-10  G10L 5/06 CANON KABUSHIKI KAISHA Speech recognition method and apparatus for use therein 
Get PDF - 23pp EP0453649A2 1991-10  G10L 5/06 International Business Machines Corporation Method and apparatus for modeling words with composite Markov models 
Get PDF - 15pp EP0590925A1 1994-04  G10L 5/06 IBM Method of speech modelling and a speech recognizer 
  WO0931850A1 1993-09  G10L 5/06    

Other Abstract Info: DERABS G1996-443400

Other References:
  • P. Geutner, "Using Morphology Towards Better Large-Vocabulary Speech Recognition Systems," Proc. ICASSP 95, pp. 445-448, May 1995.
  • Wayne Ward and Sunil Issar, "A Class Based Language Model for Speech Recognition," Proc. ICASSP 96, pp. 416-418, Jun. 1996.
  • Andre Breton, Pablo Fetter, and Peter Regel-Brietzmann, "Compound Words in Large-Vocabulary German Speech Recognition Systems," Proc. Fourth International Conference on Spoken Language Processing (ICSLP 96), Oct. 1996.
  • Kai Hubener, Uwe Jost, and Henrik Heine, "Speech Recognition for Spontaneously Spoken German Dialogues," Proc. Fourth International Conference on Spoken Language Processing (ICSLP 96), Oct. 1996.

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