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- W977386799 abstract "Currently, one of the most widely used distances in speech and speaker recognition is the Euclidean distance between MFCCs. Mel frequency cepstral coefficients are based on filter bank algorithm whose filters are equally spaced on a perceptually motivated mel frequency scale. The value of Mel cepstral vector, as well as the characteristics of cepstral distance, is determined by a number of parameters used in Mel cepstral analysis. The topic of this work is to examine compatibility of MFCC measure with human perception for different values of parameters in the analysis. By analysing Mel filter bank parameters it is found that filter bank with 24 bands, 220 mels bandwidth and band overlap coefficient equal and higher than one gives optimal SD distance measures. For this kind of Mel filter bank, difference between vowels can be recognised for full-length Mel cepstral SD RMS measure higher than 0.4 – 0.5 dB. Further on, it will be shown that usage of short Mel cepstral vector (12 coefficients) is justified for speech recognition, but arguable for speaker recognition. We analysed the impact of aliasing in cepstral domaine on cepstral distortion measures. The results have shown high correlation of SD distances calculated from aperiodic and periodic Mel cepstrum, leading to the conclusion that the impact of aliasing is generally minor. There are rare exceptions where aliasing is present, and they were also analysed." @default.
- W977386799 created "2016-06-24" @default.
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- W977386799 date "2008-12-10" @default.
- W977386799 modified "2023-10-11" @default.
- W977386799 title "Percepcijska utemeljenost kepstralnih mjera udaljenosti za primjene u obradi govora" @default.
- W977386799 hasPublicationYear "2008" @default.
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