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- W2027831404 abstract "Vocal tract length normalization (VTLN) is a process of reducing the effects of VTL differences among speakers. In this paper, frequency warping based on Bark scale is presented to obtain VTL normalized features and Bark scale based features (BSBF) have been proposed. BSBFs are found to improve the accuracy of vowel recognition task by 1.05 % over MFCCs. A feature-level fusion of BSBFs with MFCCs performs better than MFCCs alone under matched and mismatched conditions in phoneme recognition." @default.
- W2027831404 created "2016-06-24" @default.
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- W2027831404 date "2015-02-26" @default.
- W2027831404 modified "2023-09-25" @default.
- W2027831404 title "Combining Evidences from Bark Scale and Mel Scale Warped Features for VTLN" @default.
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- W2027831404 doi "https://doi.org/10.1145/2708463.2709042" @default.
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