2005Unpublished venueRequires access

A frequency warping approach for vocal tract length normalization

Qi Ding, Xu Wang, Wang Bingxi

Open publisher page 2 citations

Abstract

A method of vocal tract length normalization (VTLN) is proposed. It uses bilinear transform (BLT) to modify the filterbank in Mel-frequency cepstrum based on the average third formant F/sub 3/. The effectiveness of this method is examined on vowel and isolated digit recognitions. The baseline vowel recognition models are trained on males data and the baseline isolated digit models are trained on adult men's data respectively. When the MFCC coefficients of test data are transformed by BLT, the recognition accuracy of females' vowels is improved by 11.67% and the recognition accuracies of adult women and children's isolated digits are improved by 19.5% and 13% respectively.

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What this paper is about

A method of vocal tract length normalization (VTLN) is proposed. It uses bilinear transform (BLT) to modify the filterbank in Mel-frequency cepstrum based on the average third formant F/sub 3/. The effectiveness of this method is examined on vowel and isolated digit recognitions. The baseline vowel recognition models are trained on males data and the baseline isolated digit models are trained on adult men's data respectively. When the MFCC coefficients of test data are transformed by BLT, the recognition accuracy of females' vowels is improved by 11.67% and the recognition accuracies of adult women and children's isolated digits are improved by 19.5% and 13% respectively.

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Available abstract

A method of vocal tract length normalization (VTLN) is proposed. It uses bilinear transform (BLT) to modify the filterbank in Mel-frequency cepstrum based on the average third formant F/sub 3/. The effectiveness of this method is examined on vowel and isolated digit recognitions. The baseline vowel recognition models are trained on males data and the baseline isolated digit models are trained on adult men's data respectively. When the MFCC coefficients of test data are transformed by BLT, the recognition accuracy of females' vowels is improved by 11.67% and the recognition accuracies of adult women and children's isolated digits are improved by 19.5% and 13% respectively.

Key concepts: Vocal tract, Formant, Normalization (sociology), Speech recognition, Mel-frequency cepstrum, Image warping, Vowel, Bilinear interpolation

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