Title :
Teager energy mel cepstrum for identification of twins in Marathi
Author :
Patil, Hemant A. ; Basu, T.K.
Author_Institution :
Dept. of Electr. Eng., IIT, Kharagpur, India
Abstract :
In this paper, a new feature set T-MFCC amalgamating Teager energy operator (TEO) and mel frequency cepstral coefficients (MFCC) is developed. The effectiveness of the newly derived feature set is demonstrated for the identification of twins in Marathi. The results are also compared with linear prediction cepstral coefficients (LPCC) for polynomial classifier of 3rd order approximation.
Keywords :
cepstral analysis; feature extraction; natural languages; polynomial approximation; signal classification; speaker recognition; 3rd order approximation; Marathi; Mel cepstrum; Mel frequency cepstral coefficient; T-MFCC amalgamation; TEO; Teager energy operator; feature set; polynomial classifier; twin identification; Automatic speech recognition; Cepstral analysis; Cepstrum; Immune system; Mel frequency cepstral coefficient; Microphones; Polynomials; Speaker recognition; Spectrogram; System testing;
Conference_Titel :
India Annual Conference, 2004. Proceedings of the IEEE INDICON 2004. First
Print_ISBN :
0-7803-8909-3
DOI :
10.1109/INDICO.2004.1497705
