Automatic Classification of Indian Languages into Tonal and Non-tonal Categories Using Cascade Convolutional Neural Network (CNN)-Long Short-Term Memory (LSTM) Recurrent Neural Networks. - Chuya China Bhanja; Dipjyoti Bisharad; Rabul Hussain Laskar (SPCOM, 2018)

A Pre-classification-Based Language Identification for Northeast Indian Languages Using Prosody and Spectral Features. - Chuya China Bhanja; Mohammad Azharuddin Laskar; Rabul Hussain Laskar (Circuits Syst. Signal Process., 2019)

Deep residual networks for pre-classification based Indian language identification. - Chuya China Bhanja; Dipjyoti Bisharad; Rabul Hussain Laskar (J. Intell. Fuzzy Syst., 2019)

Cascade convolutional neural network-long short-term memory recurrent neural networks for automatic tonal and nontonal preclassification-based Indian language identification. - Chuya China Bhanja; Mohammad Azharuddin Laskar; Rabul Hussain Laskar (Expert Syst. J. Knowl. Eng., 2020)

Speaker-Phrase-Specific Adaptation of PLDA Model for Improved Performance in Text-Dependent Speaker Verification. - Mohammad Azharuddin Laskar; Chuya China Bhanja; Rabul Hussain Laskar (Circuits Syst. Signal Process., 2021)

Modelling multi-level prosody and spectral features using deep neural network for an automatic tonal and non-tonal pre-classification-based Indian language identification system. - Chuya China Bhanja; Mohammad Azharuddin Laskar; Rabul Hussain Laskar (Lang. Resour. Evaluation, 2021)

Deep neural network based two-stage Indian language identification system using glottal closure instants as anchor points. - Chuya China Bhanja; Mohammad Azharuddin Laskar; Rabul Hussain Laskar; Sivaji Bandyopadhyay (J. King Saud Univ. Comput. Inf. Sci., 2022)