1 hasil untuk "Mohammad Azharuddin Laskar"
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Artikel Jurnal
Deep neural network based two-stage Indian language identification system using glottal closure instants as anchor points
This paper presents a two-stage Indian language identification (TS-LID) system which is made up of a tonal/non-tonal pre-classification and individual language identification modules. It studies the effectiveness of Mean Hilbert envelope coefficients (MHEC) and Mel-frequency cepstral coefficients…