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Chuya China Bhanja
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2020 – today
- 2022
- [j6]Chuya China Bhanja, Mohammad Azharuddin Laskar
, Rabul Hussain Laskar, Sivaji Bandyopadhyay:
Deep neural network based two-stage Indian language identification system using glottal closure instants as anchor points. J. King Saud Univ. Comput. Inf. Sci. 34(4): 1439-1454 (2022) - 2021
- [j5]Mohammad Azharuddin Laskar
Speaker-Phrase-Specific Adaptation of PLDA Model for Improved Performance in Text-Dependent Speaker Verification. Circuits Syst. Signal Process. 40(10): 5127-5151 (2021) - [j4]Chuya China Bhanja, Mohammad Azharuddin Laskar, Rabul Hussain Laskar:
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. Lang. Resour. Evaluation 55(3): 689-730 (2021) - 2020
- [j3]Chuya China Bhanja
Cascade convolutional neural network-long short-term memory recurrent neural networks for automatic tonal and nontonal preclassification-based Indian language identification. Expert Syst. J. Knowl. Eng. 37(5) (2020)
2010 – 2019
- 2019
- [j2]Chuya China Bhanja, Mohammad Azharuddin Laskar
A Pre-classification-Based Language Identification for Northeast Indian Languages Using Prosody and Spectral Features. Circuits Syst. Signal Process. 38(5): 2266-2296 (2019) - [j1]Chuya China Bhanja, Dipjyoti Bisharad
Deep residual networks for pre-classification based Indian language identification. J. Intell. Fuzzy Syst. 36(3): 2207-2218 (2019) - 2018
- [c1]Chuya China Bhanja, Dipjyoti Bisharad
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. SPCOM 2018: 492-496
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