Mohammad Azharuddin Laskar

According to our database, Mohammad Azharuddin Laskar authored at least 14 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Deep Learning-Based End-to-End Speaker Identification Using Time-Frequency Representation of Speech Signal.

Banala Saritha, Mohammad Azharuddin Laskar, Anish Monsley Kirupakaran, Rabul Hussain Laskar, Madhuchhanda Choudhury, Nirupam Shome

Circuits Syst. Signal Process., March, 2024

2022

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

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

HiLAM-aligned kernel discriminant analysis for text-dependent speaker verification.

Mohammad Azharuddin Laskar, Rabul Hussain Laskar

Expert Syst. Appl., 2021

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

A comparative analysis between late fusion of features approach and ensemble of multiple classifiers approach for image classification.

Khanjan Choudhury, R. Murugan, Mohammad Azharuddin Laskar, Rabul Hussain Laskar

Concurr. Comput. Pract. Exp., 2021

2020

HiLAM-state discriminative multi-task deep neural network in dynamic time warping framework for text-dependent speaker verification.

Mohammad Azharuddin Laskar, Rabul Hussain Laskar

Speech Commun., 2020

A fuzzy-clustering-based hierarchical i-vector/probabilistic linear discriminant analysis system for text-dependent speaker verification.

Mohammad Azharuddin Laskar, Rabul Hussain Laskar

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.

Chuya China Bhanja, Mohammad Azharuddin Laskar, Rabul Hussain Laskar

Expert Syst. J. Knowl. Eng., 2020

2019

Complementing the DTW based speaker verification systems with knowledge of specific regions of interest.

Mohammad Azharuddin Laskar, Rabul Hussain Laskar

J. Intell. Fuzzy Syst., 2019

Integrating DNN-HMM Technique with Hierarchical Multi-layer Acoustic Model for Text-Dependent Speaker Verification.

Mohammad Azharuddin Laskar, Rabul Hussain Laskar

Circuits Syst. Signal Process., 2019

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

2016

A pre-processing method for improvement of vowel onset point detection under noisy conditions.

Partha Saha, Rabul Hussain Laskar, Mohammad Azharuddin Laskar

Speech Commun., 2016

2014

ANN Based Adaptive Detection of ECG Features from Respiratory, Pleythsmographic and ABP Signals.

Vinay Kumar, Mohammad Azharuddin Laskar, Yumnam Shantikumar Singh, Swanirbhar Majumder, Subir Kumar Sarkar

Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014, 2014