Achintya Kumar Sarkar

Orcid: 0000-0002-9870-3980

According to our database1, Achintya Kumar Sarkar authored at least 42 papers between 2009 and 2023.

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Bibliography

2023
Application of Artificial Intelligence on Post Pandemic Situation and Lesson Learn for Future Prospects.
J. Exp. Theor. Artif. Intell., April, 2023

Feed-Forward Deep Neural Network (FFDNN)-Based Deep Features for Static Malware Detection.
Int. J. Intell. Syst., 2023

Study of Various End-to-End Keyword Spotting Systems on the Bengali Language Under Low-Resource Condition.
Proceedings of the Speech and Computer - 25th International Conference, 2023

2022
On Training Targets and Activation Functions for Deep Representation Learning in Text-Dependent Speaker Verification.
CoRR, 2022

2021
Vocal Tract Length Perturbation for Text-Dependent Speaker Verification With Autoregressive Prediction Coding.
IEEE Signal Process. Lett., 2021

Self-segmentation of pass-phrase utterances for deep feature learning in text-dependent speaker verification.
Comput. Speech Lang., 2021

Data Generation Using Pass-phrase-dependent Deep Auto-encoders for Text-Dependent Speaker Verification.
CoRR, 2021

UIAI System for Short-Duration Speaker Verification Challenge 2020.
Proceedings of the IEEE Spoken Language Technology Workshop, 2021

2020
rVAD: An unsupervised segment-based robust voice activity detection method.
Comput. Speech Lang., 2020

Data augmentation enhanced speaker enrollment for text-dependent speaker verification.
CoRR, 2020

On Bottleneck Features for Text-Dependent Speaker Verification Using X-vectors.
CoRR, 2020

2019
Time-Contrastive Learning Based Deep Bottleneck Features for Text-Dependent Speaker Verification.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

2018
Incorporating pass-phrase dependent background models for text-dependent speaker verification.
Comput. Speech Lang., 2018

2017
Time-Contrastive Learning Based Unsupervised DNN Feature Extraction for Speaker Verification.
CoRR, 2017

Improving Speaker Verification Performance in Presence of Spoofing Attacks Using Out-of-Domain Spoofed Data.
Proceedings of the Interspeech 2017, 2017


RedDots replayed: A new replay spoofing attack corpus for text-dependent speaker verification research.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
A study on the roles of total variability space and session variability modeling in speaker recognition.
Int. J. Speech Technol., 2016

Sub-vector based biometric speaker verification using MLLR super-vector.
Int. J. Speech Technol., 2016

Sub-vector Extraction and Cascade Post-Processing for Speaker Verification Using MLLR Super-vectors.
CoRR, 2016

Effect of multi-condition training and speech enhancement methods on spoofing detection.
Proceedings of the First International Workshop on Sensing, 2016

Further optimisations of constant Q cepstral processing for integrated utterance and text-dependent speaker verification.
Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016

Text Dependent Speaker Verification Using Un-Supervised HMM-UBM and Temporal GMM-UBM.
Proceedings of the Interspeech 2016, 2016

Utterance Verification for Text-Dependent Speaker Recognition: A Comparative Assessment Using the RedDots Corpus.
Proceedings of the Interspeech 2016, 2016

2014
Combination of Cepstral and Phonetically Discriminative Features for Speaker Verification.
IEEE Signal Process. Lett., 2014

Person Instance Graphs for Named Speaker Identification in TV Broadcast.
Proceedings of the Odyssey 2014: The Speaker and Language Recognition Workshop, 2014

2013
Anchor and UBM-based multi-class MLLR m-vector system for speaker verification.
Proceedings of the INTERSPEECH 2013, 2013

Augmenting short-term cepstral features with long-term discriminative features for speaker verification of telephone data.
Proceedings of the INTERSPEECH 2013, 2013


Lattice MLLR based m-vector system for speaker verification.
Proceedings of the IEEE International Conference on Acoustics, 2013

Multi-class UBM-based MLLR m-vector system for speaker verification.
Proceedings of the 21st European Signal Processing Conference, 2013

2012
Multiple background models for speaker verification using the concept of vocal tract length and MLLR super-vector.
Int. J. Speech Technol., 2012

Study of the Effect of I-vector Modeling on Short and Mismatch Utterance Duration for Speaker Verification.
Proceedings of the INTERSPEECH 2012, 2012

Computationally efficient speaker identification using fast-MLLR based anchor modeling.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Speaker verification using m-vector extracted from MLLR super-vector.
Proceedings of the 20th European Signal Processing Conference, 2012

2011
Eigen-Voice Based Anchor Modeling System for Speaker Identification Using MLLR Super-Vector.
Proceedings of the INTERSPEECH 2011, 2011

Use of VTL-wise models in feature-mapping framework to achieve performance of multiple-background models in speaker verification.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Computationally Efficient Speaker Identification for Large Population Tasks using MLLR and Sufficient Statistics.
Proceedings of the Odyssey 2010: The Speaker and Language Recognition Workshop, Brno, Czech Republic, June 28, 2010

Investigation of Speaker-Clustered UBMs based on Vocal Tract Lengths and MLLR matrices for Speaker Verification.
Proceedings of the Odyssey 2010: The Speaker and Language Recognition Workshop, Brno, Czech Republic, June 28, 2010

Fast computation of speaker characterization vector using MLLR and sufficient statistics in anchor model framework.
Proceedings of the INTERSPEECH 2010, 2010

2009
Text-independent speaker identification using vocal tract length normalization for building universal background model.
Proceedings of the INTERSPEECH 2009, 2009

Using VTLN matrices for rapid and computationally-efficient speaker adaptation with robustness to first-pass transcription errors.
Proceedings of the INTERSPEECH 2009, 2009


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