Automatic language identification method and system

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395 24, 395 265, 395 266, 395 264, G01L 900

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active

058057714

ABSTRACT:
This invention consists of three enhancements to HMM-based automatic language identification systems. The three enhancements are: (i) language-discriminant acoustic model training and recognition, (ii) an acoustic model pruning procedure that picks only those phonetic models which are considered useful for language identification, and (iii) a neural network-based language classification method that uses knowledge-based features derived from phone sequences output by the HMM phonetic recognizers.

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Yeshwant K. Muthusamy, A Segmental Approach to Automatic Language Identifcation, Center for Spoken Language Understanding, Oregon Graduate Institute, Technical Paper No. CSLU 93-002, Nov. 1993, pp. 1-241.
Yeshwant K. Muthusamy, Ronald A. Cole, Beatrice T. Oshika, The OGI Multi-Language Telephone Speech Corpus, Center for Spoken Language Understanding, Oregon Graduate Institute of Science and Technology, pp. 895-898. 1991, pp. 353-356, A Segment-Based Approach to Automatic Lanuage Identification!. 525-529, "Language Identification With Neural Networks: A Feasibility Study"!. 77-83, "Estimating Hidden Markov Models so as to Maximize Speech Recognition"!. 8, section 8, pp. 143 & 144!.

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