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Process for the multilingual use of a hidden markov sound model in a speech recognition system

Patent 6212500 Issued on April 3, 2001. Estimated Expiration Date: Icon_subject March 9, 2019. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.

Patent References

Multi-language speech recognition system
Patent #: 5758023
Issued on: 05/26/1998
Inventor: Bordeaux

Automatic language identification method and system
Patent #: 5805771
Issued on: 09/08/1998
Inventor: Muthusamy, et al.

Statistical language model for inflected languages
Patent #: 5835888
Issued on: 11/10/1998
Inventor: Kanevsky, et al.

Method, an apparatus, a system, a storage device, and a computer readable medium using a bilingual database including aligned corpora
Patent #: 5867811
Issued on: 02/02/1999
Inventor: O'Donoghue

Apparatus and method for processing natural language and apparatus and method for speech recognition Patent #: 5991721
Issued on: 11/23/1999
Inventor: Asano, et al.

Inventor

Assignee

Application

No. 254775 filed on 03/09/1999

US Classes:

704/256, Markov704/1, LINGUISTICS704/2, Translation machine704/9, Natural language704/10, Dictionary building, modification, or prioritization704/243, Creating patterns for matching704/244, Update patterns704/245Clustering

Examiners

Primary: Knepper, David D.
Assistant: Sax, Robert Louis

Attorney, Agent or Firm

International Classes

G10L 005/06
G10L 009/00

Foreign Application Priority Data

1996-09-10 DE

Abstract

In a method for determining the similarities of sounds across different languages, hidden Markov modelling of multilingual phonemes is employed wherein language-specific as well as language-independent properties are identified by combining of the probability densities for different hidden Markov sound models in various languages.

Other References

  • Babin et al, Incorporation of time barying AR modeling in speech recognition . . . , , IEEE Proceedings, pp 289-292, Mar. 1991.
  • Sze et al., Branch and bound algorithm for Bayes classifier, IEEE Pattern Recognition, pp 705-709, Mar. 1991.
  • "Training Data Clustering for Improved Speech Recognition", Sankar et al., in Proc. EUROSPEECH '95, pp. 503-506, Madrid, 1995
  • "Identification of Mono-and Poly-phonemes Using Acoustic-phonetic Features Derived by a Self-organising Neural Network", Dalsgaard et al., in Proc. ICSLP '92, pp. 547-550, Banff, 1992
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  • "ASCII Phonetic Symbols for the World's Languages: Worldbet.", Hieronymus, preprint, 1993
  • "A Course in Phonetics", Ladefoged, Harcourt Brace Jovanovich, San Diego 1993
  • Data-driven Identification of Poly-and Mono-phonemes for Four European Languages:, Andersen et al., Proc. EUROSPEECH '93, pp. 759-762, Berlin, 1993
  • "The OGI Multi-language Telephone Speech Corpus", Muthusamy et al., in Proc. IC-SLP '92, pp. 895-898, banff, 1992
  • "An Evaluation of Cross-Language Adaption for Rapid HMM Development in a New Language", Wheatley et al., Proc. ICASSPP, Adelaide, 1994, pp. 237-240
  • "Multi-Lingual Phoneme Recognition Exploiting Acoustic-Phonetic Similarities of Sounds," Kohler, Proceedings of International Conference on Spoken Language Processing, Oct. 3-6, 1996, vol. 4, pp. 825-828
  • Application of Clustering Techniques To Mixture Density Modelling For Continuous-Speech Recognition, Dugast et al, Proceedings Of The International Conference On Acoustics, Speech and Signal Processing, May 9-12, vol. 1, pp. 524-527, 199
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