default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAchintya Kumar Sarkar
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2023
[j11]Priyanka Singh
, Samir Kumar Borgohain, Achintya Kumar Sarkar, Jayendra Kumar, Lakhan Dev Sharma:
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, Monoj Singha, Vineet Rojwal:
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, Tulika Basu, Rajib Roy, Joyanta Basu, Michael Tongbram, Yambem Jina Chanu, Priyanka Dwivedi:
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, Zheng-Hua Tan:
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, Zheng-Hua Tan:
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, Najim Dehak:
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, Zheng-Hua Tan, Hao Tang, Suwon Shon, James R. Glass:
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, Zheng-Hua Tan:
Incorporating pass-phrase dependent background models for text-dependent speaker verification. Comput. Speech Lang. 47: 259-271 (2018) - 2017
- [c23]Tomi Kinnunen, Md. Sahidullah, Mauro Falcone, Luca Costantini, Rosa González Hautamäki, Dennis Alexander Lehmann Thomsen, Achintya Kumar Sarkar, Zheng-Hua Tan, Héctor Delgado, Massimiliano Todisco, Nicholas W. D. Evans, Ville Hautamäki, Kong-Aik Lee:
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, Md. Sahidullah, Zheng-Hua Tan, Tomi Kinnunen:
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, Jean-François Bonastre, Driss Matrouf:
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, Zheng-Hua Tan:
Text Dependent Speaker Verification Using Un-Supervised HMM-UBM and Temporal GMM-UBM. INTERSPEECH 2016: 425-429 - [c19]Tomi Kinnunen, Md. Sahidullah, Ivan Kukanov, Héctor Delgado, Massimiliano Todisco, Achintya Kumar Sarkar, Nicolai Bæk Thomsen, Ville Hautamäki, Nicholas W. D. Evans, Zheng-Hua Tan:
Utterance Verification for Text-Dependent Speaker Recognition: A Comparative Assessment Using the RedDots Corpus. INTERSPEECH 2016: 430-434 - [c18]Héctor Delgado, Massimiliano Todisco, Md. Sahidullah, Achintya Kumar Sarkar, Nicholas W. D. Evans, Tomi Kinnunen, Zheng-Hua Tan:
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, Dennis Alexander Lehmann Thomsen, Zheng-Hua Tan, Zhanyu Ma, Jun Guo:
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, Cong-Thanh Do, Viet Bac Le, Claude Barras:
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, Jean-François Bonastre:
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-22 20:48 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
