Mohammad Azharuddin Laskar
Orcid: 0000-0002-6903-1943
According to our database1,
Mohammad Azharuddin Laskar
authored at least 15 papers
between 2014 and 2024.
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Bibliography
2024
Deep Learning-Based End-to-End Speaker Identification Using Time-Frequency Representation of Speech Signal.
Circuits Syst. Signal Process., March, 2024
CACRN-Net: A 3D log Mel spectrogram based channel attention convolutional recurrent neural network for few-shot speaker identification.
Comput. Electr. Eng., 2024
2022
Deep neural network based two-stage Indian language identification system using glottal closure instants as anchor points.
J. King Saud Univ. Comput. Inf. Sci., 2022
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.
Lang. Resour. Evaluation, 2021
Expert Syst. Appl., 2021
Speaker-Phrase-Specific Adaptation of PLDA Model for Improved Performance in Text-Dependent Speaker Verification.
Circuits Syst. Signal Process., 2021
A comparative analysis between late fusion of features approach and ensemble of multiple classifiers approach for image classification.
Concurr. Comput. Pract. Exp., 2021
2020
HiLAM-state discriminative multi-task deep neural network in dynamic time warping framework for text-dependent speaker verification.
Speech Commun., 2020
A fuzzy-clustering-based hierarchical i-vector/probabilistic linear discriminant analysis system for text-dependent speaker verification.
Expert Syst. J. Knowl. Eng., 2020
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., 2020
2019
Complementing the DTW based speaker verification systems with knowledge of specific regions of interest.
J. Intell. Fuzzy Syst., 2019
Integrating DNN-HMM Technique with Hierarchical Multi-layer Acoustic Model for Text-Dependent Speaker Verification.
Circuits Syst. Signal Process., 2019
A Pre-classification-Based Language Identification for Northeast Indian Languages Using Prosody and Spectral Features.
Circuits Syst. Signal Process., 2019
2016
A pre-processing method for improvement of vowel onset point detection under noisy conditions.
Speech Commun., 2016
2014
ANN Based Adaptive Detection of ECG Features from Respiratory, Pleythsmographic and ABP Signals.
Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014, 2014