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- W3012371808 abstract "This paper proposes an automated system to identify speaker's regional nativity by analysing their English speech utterances. A database of English speech of native speakers of three South Indian languages: Kannada (KAN), Tamil (TAM) and Telugu (TEL), is especially collected for this study, in text-independent mode. Mel Frequency Cepstral Coefficients (MFCCs) features are used with three different classifiers, namely, Gaussian Mixture Model (GMM), GMM-Universal Background Model (GMM-UBM) and i-vector. The i-vector classifier gave accuracies of 93.9%. Nativity identification from English speech is observed to be relatively easier for native speakers of Kannada language, than for Tamil and Telugu speakers." @default.
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- W3012371808 date "2019-12-01" @default.
- W3012371808 modified "2023-10-04" @default.
- W3012371808 title "An Automated System for Regional Nativity Identification of Indian speakers from English Speech" @default.
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- W3012371808 doi "https://doi.org/10.1109/indicon47234.2019.9028980" @default.
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