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A Feature Design of Multi-Language Identification System

A multi-language identification system of 10 languages: Mandarin, Japanese, Korean, Tamil, Vietnamese, English, French, German, Spanish and Farsi, is built in this thesis. The system utilizes cepstrum coefficients, delta cepstrum coefficients and linear predictive coding coefficients to extract the language features, and incorporates Gaussian mixture model and N-gram model to make the language classification. The feasibility of the system is demonstrated in this thesis.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0717103-111005
Date17 July 2003
CreatorsLin, Jun-Ching
ContributorsChih-Chien Chen, Tsung Lee, none
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageCholon
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0717103-111005
Rightsnot_available, Copyright information available at source archive

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