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Achintya Kumar Sarkar
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2020 – today
- 2023
- [j11]Priyanka Singh
, Samir Kumar Borgohain, Achintya Kumar Sarkar, Jayendra Kumar
Feed-Forward Deep Neural Network (FFDNN)-Based Deep Features for Static Malware Detection. Int. J. Intell. Syst. 2023: 1-20 (2023) - [j10]Priyanka Dwivedi, Achintya Kumar Sarkar, Chinmay Chakraborty
Application of Artificial Intelligence on Post Pandemic Situation and Lesson Learn for Future Prospects. J. Exp. Theor. Artif. Intell. 35(3): 327-344 (2023) - [c25]Achintya Kumar Sarkar
Study of Various End-to-End Keyword Spotting Systems on the Bengali Language Under Low-Resource Condition. SPECOM (2) 2023: 114-126 - 2022
- [i11]Achintya Kumar Sarkar, Zheng-Hua Tan:
On Training Targets and Activation Functions for Deep Representation Learning in Text-Dependent Speaker Verification. CoRR abs/2201.06426 (2022) - 2021
- [j9]Achintya Kumar Sarkar
Self-segmentation of pass-phrase utterances for deep feature learning in text-dependent speaker verification. Comput. Speech Lang. 70: 101229 (2021) - [j8]Achintya Kumar Sarkar
Vocal Tract Length Perturbation for Text-Dependent Speaker Verification With Autoregressive Prediction Coding. IEEE Signal Process. Lett. 28: 364-368 (2021) - [c24]Md. Sahidullah, Achintya Kumar Sarkar, Ville Vestman, Xuechen Liu, Romain Serizel, Tomi Kinnunen, Zheng-Hua Tan, Emmanuel Vincent:
UIAI System for Short-Duration Speaker Verification Challenge 2020. SLT 2021: 323-329 - [i10]Achintya Kumar Sarkar, Md. Sahidullah, Zheng-Hua Tan:
Data Generation Using Pass-phrase-dependent Deep Auto-encoders for Text-Dependent Speaker Verification. CoRR abs/2102.02074 (2021) - 2020
- [j7]Zheng-Hua Tan, Achintya Kumar Sarkar
rVAD: An unsupervised segment-based robust voice activity detection method. Comput. Speech Lang. 59: 1-21 (2020) - [i9]Achintya Kumar Sarkar, Zheng-Hua Tan:
On Bottleneck Features for Text-Dependent Speaker Verification Using X-vectors. CoRR abs/2005.07383 (2020) - [i8]Achintya Kumar Sarkar, Himangshu Sarma, Priyanka Dwivedi, Zheng-Hua Tan:
Data augmentation enhanced speaker enrollment for text-dependent speaker verification. CoRR abs/2007.08004 (2020) - [i7]Md. Sahidullah, Achintya Kumar Sarkar, Ville Vestman, Xuechen Liu, Romain Serizel, Tomi Kinnunen, Zheng-Hua Tan, Emmanuel Vincent:
UIAI System for Short-Duration Speaker Verification Challenge 2020. CoRR abs/2007.13118 (2020) - [i6]Achintya Kumar Sarkar, Zheng-Hua Tan:
Vocal Tract Length Perturbation for Text-Dependent Speaker Verification with Autoregressive Prediction Coding. CoRR abs/2011.12536 (2020)
2010 – 2019
- 2019
- [j6]Achintya Kumar Sarkar
Time-Contrastive Learning Based Deep Bottleneck Features for Text-Dependent Speaker Verification. IEEE ACM Trans. Audio Speech Lang. Process. 27(8): 1267-1279 (2019) - [i5]Achintya Kumar Sarkar, Zheng-Hua Tan, Hao Tang, Suwon Shon, James R. Glass:
Time-Contrastive Learning Based Deep Bottleneck Features for Text-Dependent Speaker Verification. CoRR abs/1905.04554 (2019) - [i4]Zheng-Hua Tan, Achintya Kumar Sarkar, Najim Dehak:
rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method. CoRR abs/1906.03588 (2019) - 2018
- [j5]Achintya Kumar Sarkar
Incorporating pass-phrase dependent background models for text-dependent speaker verification. Comput. Speech Lang. 47: 259-271 (2018) - 2017
- [c23]Tomi Kinnunen, Md. Sahidullah
RedDots replayed: A new replay spoofing attack corpus for text-dependent speaker verification research. ICASSP 2017: 5395-5399 - [c22]Kong-Aik Lee, Ville Hautamäki, Tomi Kinnunen, Anthony Larcher, Chunlei Zhang, Andreas Nautsch, Themos Stafylakis, Gang Liu, Mickaël Rouvier, Wei Rao, Federico Alegre, J. Ma, Man-Wai Mak, Achintya Kumar Sarkar, Héctor Delgado, Rahim Saeidi, Hagai Aronowitz, Aleksandr Sizov, Hanwu Sun, Trung Hieu Nguyen, Guangsen Wang, Bin Ma, Ville Vestman, Md. Sahidullah, M. Halonen, Anssi Kanervisto, Gaël Le Lan, Fahimeh Bahmaninezhad, Sergey Isadskiy, Christian Rathgeb, Christoph Busch, Georgios Tzimiropoulos, Q. Qian, Z. Wang, Q. Zhao, T. Wang, H. Li, J. Xue, S. Zhu, R. Jin, T. Zhao, Pierre-Michel Bousquet, Moez Ajili, Waad Ben Kheder, Driss Matrouf, Zhi Hao Lim, Chenglin Xu, Haihua Xu, Xiong Xiao, Eng Siong Chng, Benoit G. B. Fauve, Kaavya Sriskandaraja, Vidhyasaharan Sethu, W. W. Lin, Dennis Alexander Lehmann Thomsen, Zheng-Hua Tan, Massimiliano Todisco, Nicholas W. D. Evans, Haizhou Li, John H. L. Hansen, Jean-François Bonastre, Eliathamby Ambikairajah:
The I4U Mega Fusion and Collaboration for NIST Speaker Recognition Evaluation 2016. INTERSPEECH 2017: 1328-1332 - [c21]Achintya Kumar Sarkar
Improving Speaker Verification Performance in Presence of Spoofing Attacks Using Out-of-Domain Spoofed Data. INTERSPEECH 2017: 2611-2615 - [i3]Achintya Kumar Sarkar, Zheng-Hua Tan:
Time-Contrastive Learning Based Unsupervised DNN Feature Extraction for Speaker Verification. CoRR abs/1704.02373 (2017) - 2016
- [j4]Achintya Kumar Sarkar, Jean-François Bonastre:
Sub-vector based biometric speaker verification using MLLR super-vector. Int. J. Speech Technol. 19(1): 41-54 (2016) - [j3]Achintya Kumar Sarkar
A study on the roles of total variability space and session variability modeling in speaker recognition. Int. J. Speech Technol. 19(1): 111-120 (2016) - [c20]Achintya Kumar Sarkar
Text Dependent Speaker Verification Using Un-Supervised HMM-UBM and Temporal GMM-UBM. INTERSPEECH 2016: 425-429 - [c19]Tomi Kinnunen, Md. Sahidullah
Utterance Verification for Text-Dependent Speaker Recognition: A Comparative Assessment Using the RedDots Corpus. INTERSPEECH 2016: 430-434 - [c18]Héctor Delgado
Further optimisations of constant Q cepstral processing for integrated utterance and text-dependent speaker verification. SLT 2016: 179-185 - [c17]Hong Yu, Achintya Kumar Sarkar
Effect of multi-condition training and speech enhancement methods on spoofing detection. SPLINE 2016: 1-5 - [i2]Achintya Kumar Sarkar, Claude Barras, Viet Bac Le, Driss Matrouf:
Sub-vector Extraction and Cascade Post-Processing for Speaker Verification Using MLLR Super-vectors. CoRR abs/1605.03724 (2016) - [i1]Achintya Kumar Sarkar, Zheng-Hua Tan:
Incorporating Pass-Phrase Dependent Background Models for Text Dependent Speaker Verification. CoRR abs/1611.06423 (2016) - 2014
- [j2]Achintya Kumar Sarkar
Combination of Cepstral and Phonetically Discriminative Features for Speaker Verification. IEEE Signal Process. Lett. 21(9): 1040-1044 (2014) - [c16]Hervé Bredin, Antoine Laurent, Achintya Kumar Sarkar, Viet Bac Le, Sophie Rosset, Claude Barras:
Person Instance Graphs for Named Speaker Identification in TV Broadcast. Odyssey 2014: 179-186 - 2013
- [c15]Achintya Kumar Sarkar, Claude Barras:
Multi-class UBM-based MLLR m-vector system for speaker verification. EUSIPCO 2013: 1-5 - [c14]Achintya Kumar Sarkar, Claude Barras, Viet Bac Le:
Lattice MLLR based m-vector system for speaker verification. ICASSP 2013: 7654-7658 - [c13]Hervé Bredin, Johann Poignant, Guillaume Fortier, Makarand Tapaswi, Viet Bac Le, Anindya Roy, Claude Barras, Sophie Rosset, Achintya Kumar Sarkar, Qian Yang, Hua Gao, Alexis Mignon, Jakob Verbeek, Laurent Besacier, Georges Quénot, Hazim Kemal Ekenel, Rainer Stiefelhagen:
QCompere @ REPERE 2013. SLAM@INTERSPEECH 2013: 49-54 - [c12]Achintya Kumar Sarkar, Claude Barras:
Anchor and UBM-based multi-class MLLR m-vector system for speaker verification. INTERSPEECH 2013: 2450-2454 - [c11]Cong-Thanh Do, Claude Barras, Viet Bac Le, Achintya Kumar Sarkar:
Augmenting short-term cepstral features with long-term discriminative features for speaker verification of telephone data. INTERSPEECH 2013: 2484-2488 - 2012
- [j1]Achintya Kumar Sarkar, Srinivasan Umesh
Multiple background models for speaker verification using the concept of vocal tract length and MLLR super-vector. Int. J. Speech Technol. 15(3): 351-364 (2012) - [c10]Achintya Kumar Sarkar, Jean-François Bonastre, Driss Matrouf:
Speaker verification using m-vector extracted from MLLR super-vector. EUSIPCO 2012: 21-25 - [c9]Achintya Kumar Sarkar, Srinivasan Umesh
Computationally efficient speaker identification using fast-MLLR based anchor modeling. ICASSP 2012: 4357-4360 - [c8]Achintya Kumar Sarkar, Driss Matrouf, Pierre-Michel Bousquet, Jean-François Bonastre:
Study of the Effect of I-vector Modeling on Short and Mismatch Utterance Duration for Speaker Verification. INTERSPEECH 2012: 2662-2665 - 2011
- [c7]Achintya Kumar Sarkar, Srinivasan Umesh
Use of VTL-wise models in feature-mapping framework to achieve performance of multiple-background models in speaker verification. ICASSP 2011: 4552-4555 - [c6]Achintya Kumar Sarkar, Srinivasan Umesh:
Eigen-Voice Based Anchor Modeling System for Speaker Identification Using MLLR Super-Vector. INTERSPEECH 2011: 2357-2360 - 2010
- [c5]Achintya Kumar Sarkar, Srinivasan Umesh:
Fast computation of speaker characterization vector using MLLR and sufficient statistics in anchor model framework. INTERSPEECH 2010: 2738-2741 - [c4]Achintya Kumar Sarkar, Srinivasan Umesh, Shakti Prasad Rath:
Computationally Efficient Speaker Identification for Large Population Tasks using MLLR and Sufficient Statistics. Odyssey 2010: 3 - [c3]Achintya Kumar Sarkar, Srinivasan Umesh:
Investigation of Speaker-Clustered UBMs based on Vocal Tract Lengths and MLLR matrices for Speaker Verification. Odyssey 2010: 13
2000 – 2009
- 2009
- [c2]Shakti Prasad Rath, Srinivasan Umesh, Achintya Kumar Sarkar:
Using VTLN matrices for rapid and computationally-efficient speaker adaptation with robustness to first-pass transcription errors. INTERSPEECH 2009: 572-575 - [c1]Achintya Kumar Sarkar, Srinivasan Umesh, Shakti Prasad Rath:
Text-independent speaker identification using vocal tract length normalization for building universal background model. INTERSPEECH 2009: 2331-2334
Coauthor Index
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