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Title: US6202049: Identification of unit overlap regions for concatenative speech synthesis system
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Country: US United States of America

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7 pages

 
Inventor: Kibre, Nicholas; Lompoc, CA
Pearson, Steve; Santa Barbara, CA

Assignee: Matsushita Electric Industrial Co., Ltd., Osaka, Japan
other patents from MATSUSHITA ELECTRIC INDUSTRIAL CO., LTD. (358975) (approx. 19,828)
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Published / Filed: 2001-03-13 / 1999-03-09

Application Number: US1999000264981

IPC Code: Advanced: G06F 15/18; G06N 3/04; G10L 13/06; G10L 13/08; G10L 15/14; G10L 15/16;
Core: G06N 3/00; G10L 13/00; G10L 15/00; more...
IPC-7: G10L 13/06;

ECLA Code: G10L13/06C;

U.S. Class: Current: 704/267; 704/254; 704/E13.01;
Original: 704/267; 704/254;

Field of Search: 704/265,266,267,249,254,258

Priority Number:
1999-03-09  US1999000264981

Abstract: Speech signal parameters are extracted from time-series data corresponding to different sound units containing the same vowel. The extracted parameters are used to train a statistical model, such as a Hidden Markov-based Model, that has a data structure for separately modeling the nuclear trajectory region of the vowel and its surrounding transition elements. The model is trained as through embedded re-estimation to automatically determine optimally aligned models that identify the nuclear trajectory region. The boundaries of the nuclear trajectory region serve to delimit the overlap region for subsequent sound unit concatenation.

Attorney, Agent or Firm: Harness, Dickey & Pierce, P.L.C. ;

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

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Designated Country: AT BE CH CY DE DK ES FI FR GB GR IE IT LI LU MC NL PT SE 

Family: Show 13 known family members

First Claim:
Show all 15 claims
What is claimed is:     1. A method for identifying a unit overlap region for concatenative speech synthesis, comprising:
  • defining a statistical model for representing time-varying properties of speech;
  • providing a plurality of time-series data corresponding to different sound units containing the same vowel;
  • extracting speech signal parameters from said time-series data and using said parameters to train said statistical model;
  • using said trained statistical model to identify a recurring sequence in said time-series data and associating said recurring sequence with a nuclear trajectory region of said vowel;
  • using said recurring sequence to delimit the unit overlap region for concatenative speech synthesis.


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Forward References: Show 2 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (2)   |   Backward references (6)   |   Citation Link

Buy
PDF
Patent  Pub.Date  Inventor Assignee   Title
Buy PDF- 17pp US5349645  1994-09 Zhoa  Matsushita Electric Industrial Co., Ltd. Word hypothesizer for continuous speech decoding using stressed-vowel centered bidirectional tree searches
Buy PDF- 15pp US5400434  1995-03 Pearson  Matsushita Electric Industrial Co., Ltd. Voice source for synthetic speech system
Buy PDF- 30pp US5617507  1997-04 Lee et al.  Korea Telecommunication Authority Speech segment coding and pitch control methods for speech synthesis systems
Buy PDF- 23pp US5684925  1997-11 Morin et al.  Matsushita Electric Industrial Co., Ltd. Speech representation by feature-based word prototypes comprising phoneme targets having reliable high similarity
Buy PDF- 15pp US5751907  1998-05 Moebius et al.  Lucent Technologies Inc. Speech synthesizer having an acoustic element database
Buy PDF- 17pp US5913193  1999-06 Huang et al.  Microsoft Corporation Method and system of runtime acoustic unit selection for speech synthesis
       
Foreign References:
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PDF
Publication Date IPC Code Assignee   Title
Buy PDF- 18pp EP0805433 1997-05  G10L 5/04 MICROSOFT CORPORATION Method and system of runtime acoustic unit selection for speech synthesis 


Other Abstract Info: DERABS G2000-566952

Other References:
  • Mercier, G., D. Bigorgne, L. Miclet, L. LeGuenne, and M. Querre, "Recognition of Speaker-dependent Continuous Speech with KEAL," IEE Proceedings-Communications, Speech, and Vision, Part I, vol. 136, iss. 2, Apr. 1989, pp. 145-154. (10 pages) Cited by 3 patents
  • Weigel, Walter, "Continuous Speech-Recognition with Vowel-Context-Independent Hidden Markov Models for Demisyllables," Proc. ICSLP, Kobe Japan, Nov. 1990, pp. 701-704.
  • Matsui, K., S. D. Pearson, K. Hata, and T. Kamai, "Improving Naturalness in Text-to-Speech Synthesis Using Natural Glottal Source," 1991 Int. Conf. Acoust., Speech, Sig. Proc., 1991, ICASSP-91, vol. 2, Apr. 14-17 1991, pp. 769-772.
  • Boeffard, O., L. Miclet, and S. White, "Automatic Generation of Optimized Unit Dictionaries for text to Speech Synthesis," Int. Conf. Spoken Language Proc., Banff, Alberta, Canada, vol. 2, Oct. 12-16, 1992, pp. 1211-1241.
  • Acero, H. Hon, A., Huang, X., Liu, J., and Plumpe, M.; "Automatic Generation Of Synthesis Units For Trainable Text-To-Speech Systems"; Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No. 98CH36181) Part vol. 1; pp. 293-296 vol. 1; May 1998.
  • Boeffard, O., Miclet, L., and White, S.; "Automatic Generation Of Optimized Unit Dictionaries For Text To Speech Synthesis"; In Proceedings ICSLP 92, Baraff, Alberta, Canada; pp. 1211-1214.; 1992.
  • Conkie, Alistair D., and Isard, Stephen; "Optimal Coupling of Diphones"; Text-To-Speech Synthesis: Progress In Speech Synthesis Workshop; 2nd ; pp. 293-304; Spring 1996.


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