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Title: US5949961: Word syllabification in speech synthesis system
[ Derwent Title ]


Country: US United States of America

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12 pages

 
Inventor: Sharman, Richard A.; Southampton, 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: 1999-09-07 / 1995-07-19

Application Number: US1995000503960

IPC Code: IPC-7: G10L 5/02;

ECLA Code: G10L13/08;

U.S. Class: Current: 704/260; 704/258; 704/263;
Original: 395/002.69; 395/002.67; 395/002.72;

Field of Search: 395/2.6-2.66,2.51,759,760,2.69,2.67,2.72

Priority Number:
1995-07-19  US1995000503960

Abstract:     The present invention relates to a system and method of word syllabification. The present invention receives a word to be syllabified and determines therefrom all possible substrings capable of forming part of the word. Sequences matching at least part of or the whole of the word are determined from the substrings together with respective probabilities of occurrence and the sequence having the greatest probability of occurrence is selected as being the most probable syllabification of the word. The most probable sequence can be determined in many different ways. For example, the sequence can be determined by commencing with the substring having the greatest probability of forming the beginning of a given word and subsequently traversing in a step-by-step manner a table comprising all possible substrings of the word and at each step selecting the next substring of the sequence according to which of the possible next substrings has the highest probability of occurrence. A further method of determining the most probable sequence would be to adopt the above step-by-step approach for all possible substrings capable of forming the beginning of the given word. Alternatively, all possible sequences of substring capable of constituting the word can be determined together respective probabilities of occurrence thereof and the sequence having the highest respective probability of occurrence is selected as being the most probable syllabification of the given word.

Attorney, Agent or Firm: Quarles & Brady ;

Primary / Asst. Examiners: MacDonald, Allen R.; Collins, Alphonso A.

Maintenance Status: E2 Expired  Check current status

INPADOC Legal Status: Show legal status actions

Family: None

First Claim:
Show all 15 claims
What is claimed is:     1. A method for automatic word syllabification in a speech synthesis system, comprising the steps of:
  • generating all possible substrings constituting part of an input text word;
  • assigning to each said possible substring a respective probability of being a correct syllable, based on predetermined substring frequency information; and,
  • determining from all said possible substrings a sequence of said substrings which represents a most probable syllabification of said input text word, based on said respective assigned probabilities.


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Forward References: Show 25 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (25)   |   Backward references (0)   |   Citation Link

       
Foreign References: None

Other References:
  • K. P. H. Sullivan and R. I. Damper (1992) "Novel-Word Pronunciation Within a Text-to-Speech System", Talking Machines: Theories, Models, and Designs, pp. 183-195.


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