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ENGL
2008

Identifying Perceptually Similar Languages Using Teager Energy Based Cepstrum

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Identifying Perceptually Similar Languages Using Teager Energy Based Cepstrum
Language Identification (LID) refers to the task of identifying an unknown language from the test utterances. In this paper, a new method of feature extraction, viz., Teager Energy Based Mel Frequency Cepstral Coefficients (T-MFCC) is developed for identification of perceptually similar languages. Finally, an LID system is presented for Hindi and Urdu (perceptually similar Indian languages) to demonstrate effectiveness of newly proposed feature set with short discussion on experimental results. Keywords- Language identification, Teager Energy Operator (TEO), Mel cepstrum, polynomial classifier, discriminative training.
Hemant A. Patil, T. K. Basu
Added 10 Dec 2010
Updated 10 Dec 2010
Type Journal
Year 2008
Where ENGL
Authors Hemant A. Patil, T. K. Basu
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