Identifying Perceptually Similar Languages Using Teager Energy Based Cepstrum
نویسندگان
چکیده
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.
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ورودعنوان ژورنال:
- Engineering Letters
دوره 16 شماره
صفحات -
تاریخ انتشار 2008