Speaker Recognition Using Mel-Scale Frequency Cepstral Coefficients by Time Domain Filtering method

碩士 === 中華技術學院 === 電子工程研究所碩士班 === 96 === ABSTRACT According to past papers, we find that the algorithm based on Mel-frequency cepstral coefficients (MFCCs) has a better performance than any other algorithms which based on the other feature parameters [1-7]. The Mel-frequency cepstral coefficients are...

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Bibliographic Details
Main Authors: MING-DA CHIANG, 蔣明達
Other Authors: WU-TON CHEN
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/13444981721982290438
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Summary:碩士 === 中華技術學院 === 電子工程研究所碩士班 === 96 === ABSTRACT According to past papers, we find that the algorithm based on Mel-frequency cepstral coefficients (MFCCs) has a better performance than any other algorithms which based on the other feature parameters [1-7]. The Mel-frequency cepstral coefficients are taken by following procedures, including: framing, multiplied by the Hamming Window, taking the fast Fourier transform (FFT), filtered in frequency domain by Mel-frequency triangular filter bank, calculating the logarithmic energy of filter outputs, and taking discrete cosine transform (DCT) to obtain the Mel-frequency cepstral coefficients. In this paper, for finding the Mel-frequency cepstral coefficients, the conventional frequency domain filtering procedures [1] are replaced by our new directly time domain filtering procedures proposed in this thesis. The simulation results show that the performances between our new method and the previous approach [1] are quite similar.