Design of Cross-lingual and Multilingual Corpora for Speaker Recognition Research and Evaluation in Indian Languages
نویسندگان
چکیده
Automatic Speaker Recognition (ASR) is an economic method of biometrics because of the availability of the low cost and powerful processors. Results of ASR are highly dependent on database, i.e., the results obtained in an ASR system are meaningless if the recording conditions are not of standard. In this paper, a methodology and a typical experimental setup used for development of corpora for various ASR tasks, viz., mono-lingual, cross-lingual and multilingual speaker identification in the text-independent mode for different Indian languages, viz., Bengali, Hindi and Indian English have been described. Finally, an ASR system is presented to evaluate the developed corpora.
منابع مشابه
Proceedings of Meetings on Acoustics
India possesses a large variety of languages and dialects spoken in different parts of the country. These languages possess some unique linguistic, phonological and phonetic properties different from European languages. Research is being done in several of Indian languages such as Hindi, Bangla, etc. to study the articulatory, acoustic, Phonetic and prosodic nature for the purpose of creating s...
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