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 (M...

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Detalhes bibliográficos

Principais autores:	Chuya China Bhanja, Mohammad Azharuddin Laskar, Rabul Hussain Laskar, Sivaji Bandyopadhyay
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Springer 2022-04-01
coleção:	Journal of King Saud University: Computer and Information Sciences
Assuntos:	Tonal/non-tonal languages MHEC GCI Syllables DNN Database
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S1319157819302605
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