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Title: US6098042: Homograph filter for speech synthesis system
[ Derwent Title ]

Country: US United States of America

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23 pages

Inventor: Huynh, Duy Quoc; Cedar Park, TX

Assignee: International Business Machines Corporation, Armonk, NY
other patents from INTERNATIONAL BUSINESS MACHINES CORPORATION (280070) (approx. 44,393)
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Published / Filed: 2000-08-01 / 1998-01-30

Application Number: US1998000016545

IPC Code: Advanced: G10L 13/08;
IPC-7: G10L 13/00;

ECLA Code: G10L13/08;

U.S. Class: Current: 704/260; 704/266; 704/E13.012;
Original: 704/260; 704/266;

Field of Search: 704/260,266,4

Priority Number:
1998-01-30  US1998000016545

Abstract:     A homograph filter and method which increase the probability that homographs are pronounced correctly in a speech synthesis system utilizes a filter engine operating in conjunction with a set of rules. The filter engine parses a textual sentence to extract any present homographs and applies a correct set of rules to the homograph, based on an optimal search algorithm. The engine then carries out any appropriate substitution of phonetic data. Rules are primarily based on syntactic analisis, based on a priori knowledge of how each homograph is used. The rule set is classified into different categories in order to optimize the search algorithm and to allow the rules to be modified and updated incrementally without effecting the engine construction and/or performance. The search algorithm utilizes syntactic analysis to achieve optimum results. If syntactic analysis does not yield a satisfactory result, semantic analysis could also be utilized to determine the usage of the homograph based on the contents of the items which surround the homograph. The rule set contains a set of grammatical rules to perform syntactic analysis. If syntactic or semantic analysis does not yield a result, the result will be based on the statistical usage of the given homograph.

Attorney, Agent or Firm: Kudirka & Jobse, LLP ;

Primary / Asst. Examiners: Zele, Krista; Opsasnick, Michael N.

Maintenance Status: E1 Expired  Check current status

INPADOC Legal Status: Show legal status actions

Family: None

First Claim:
Show all 35 claims
What is claimed is:     1. A computer program product for use with a computer system capable of converting text data into synthesized speech, the computer program product comprising a computer useable medium having program code embodied in the medium and configured to determine a preferred pronunciation of a homograph in the text data, the program code further comprising:
  • program code which examines the text data to identify the homograph within the text data and to extract words surrounding the identified homograph in the text data;
  • program code responsive to the identified homograph which identifies the possible parts of speech that the identified homograph can assume;
  • program code responsive to the possible parts of speech that the identified homograph can assume that obtains a set of rules, each rule based on a pair of possible parts of speech of the identified homograph and a word order and position of one of the surrounding words;
  • program code which sequentially applies the rules in the obtained rule set until a rule is satisfied to determine a part of speech for the homograph in the text data; and
  • program code which is responsive to the homograph and the determined part of speech usage for determining a preferred pronunciation for the identified homograph.

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Forward References: Show 10 U.S. patent(s) that reference this one

U.S. References: Go to Result Set: All U.S. references   |  Forward references (10)   |   Backward references (15)   |   Citation Link

Patent  Pub.Date  Inventor Assignee   Title
Get PDF - 17pp US3704345  1972-11 Coker et al.  Bell Telephone Laboratories, Incorporated CONVERSION OF PRINTED TEXT INTO SYNTHETIC SPEECH
Get PDF - 75pp US4706212  1987-11 Toma   Method using a programmed digital computer system for translation between natural languages
Get PDF - 35pp US4868750  1989-09 Kucera et al.  Houghton Mifflin Company Collocational grammar system
Get PDF - 25pp US4887212  1989-12 Zamora et al.  International Business Machines Corporation Parser for natural language text
Get PDF - 65pp US5068789  1991-11 Van Viembergen  OCE-Nederland B.V. Method and means for grammatically processing a natural language sentence
Get PDF - 12pp US5146405  1992-09 Church  AT&T Bell Laboratories Methods for part-of-speech determination and usage
Get PDF - 9pp US5157759  1992-10 Bachenko  AT&T Bell Laboratories Written language parser system
Get PDF - 12pp US5268990  1993-12 Cohen et al.  SRI International Method for recognizing speech using linguistically-motivated hidden Markov models
Get PDF - 14pp US5317673  1994-05 Cohen et al.  SRI International Method and apparatus for context-dependent estimation of multiple probability distributions of phonetic classes with multilayer perceptrons in a speech recognition system
Get PDF - 16pp US5424947  1995-06 Nagao et al.  International Business Machines Corporation Natural language analyzing apparatus and method, and construction of a knowledge base for natural language analysis
Get PDF - 15pp US5455889  1995-10 Bahl et al.  International Business Machines Corporation Labelling speech using context-dependent acoustic prototypes
Get PDF - 25pp US5535120  1996-07 Chong et al.  Trans-Link International Corp. Machine translation and telecommunications system using user ID data to select dictionaries
Get PDF - 10pp US5806021  1998-09 Chen et al.  International Business Machines Corporation Automatic segmentation of continuous text using statistical approaches
Get PDF - 128pp US5845306  1998-12 Schabes et al.  Mitsubishi Electric Information Technology Center America, Inc. Context based system for accessing dictionary entries
Get PDF - 18pp US5893901  1999-04 Maki  Oki Electric Industry Co., Ltd. Text to voice apparatus accessing multiple gazetteers dependent upon vehicular position
Foreign References: None

Other References:
  • H. Nomiyama and S. Ogino, "Two-Pass Lexical Ambiguity Resolution", IBM Technical Disclosure Bulletin, Dec., 1991, vol. 34, No. 7A, pp. 149-153.
  • Victor W. Zue, "Toward Systems that Understand Spoken Language", IEEE, Feb. 1994, pp. 51-59. (9 pages) Cited by 5 patents [ISI abstract]
  • "The Broad Study of Homograph Disambiguity for Mandarin Speech Synthesis"; Wang et al, Spoken Language, 1996 ICSLP 96, Oct. 3, 1996.

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