Using VTLN matrices for rapid and computationally-efficient speaker adaptation with robustness to first-pass transcription errors. - Shakti Prasad Rath; Srinivasan Umesh; Achintya Kumar Sarkar (INTERSPEECH, 2009)

Text-independent speaker identification using vocal tract length normalization for building universal background model. - Achintya Kumar Sarkar; Srinivasan Umesh; Shakti Prasad Rath (INTERSPEECH, 2009)

Fast computation of speaker characterization vector using MLLR and sufficient statistics in anchor model framework. - Achintya Kumar Sarkar; Srinivasan Umesh (INTERSPEECH, 2010)

Investigation of Speaker-Clustered UBMs based on Vocal Tract Lengths and MLLR matrices for Speaker Verification. - Achintya Kumar Sarkar; Srinivasan Umesh (Odyssey, 2010)

Computationally Efficient Speaker Identification for Large Population Tasks using MLLR and Sufficient Statistics. - Achintya Kumar Sarkar; Srinivasan Umesh; Shakti Prasad Rath (Odyssey, 2010)

Use of VTL-wise models in feature-mapping framework to achieve performance of multiple-background models in speaker verification. - Achintya Kumar Sarkar; Srinivasan Umesh (ICASSP, 2011)

Eigen-Voice Based Anchor Modeling System for Speaker Identification Using MLLR Super-Vector. - Achintya Kumar Sarkar; Srinivasan Umesh (INTERSPEECH, 2011)

Speaker verification using m-vector extracted from MLLR super-vector. - Achintya Kumar Sarkar; Jean-François Bonastre; Driss Matrouf (EUSIPCO, 2012)

Computationally efficient speaker identification using fast-MLLR based anchor modeling. - Achintya Kumar Sarkar; Srinivasan Umesh; Jean-François Bonastre (ICASSP, 2012)

Study of the Effect of I-vector Modeling on Short and Mismatch Utterance Duration for Speaker Verification. - Achintya Kumar Sarkar; Driss Matrouf; Pierre-Michel Bousquet; Jean-François Bonastre (INTERSPEECH, 2012)

Multiple background models for speaker verification using the concept of vocal tract length and MLLR super-vector. - Achintya Kumar Sarkar; Srinivasan Umesh (Int. J. Speech Technol., 2012)

Multi-class UBM-based MLLR m-vector system for speaker verification. - Achintya Kumar Sarkar; Claude Barras (EUSIPCO, 2013)

Lattice MLLR based m-vector system for speaker verification. - Achintya Kumar Sarkar; Claude Barras; Viet Bac Le (ICASSP, 2013)

QCompere @ REPERE 2013. - 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; et al. (SLAM@INTERSPEECH, 2013)

Augmenting short-term cepstral features with long-term discriminative features for speaker verification of telephone data. - Cong-Thanh Do; Claude Barras; Viet Bac Le; Achintya Kumar Sarkar (INTERSPEECH, 2013)

Anchor and UBM-based multi-class MLLR m-vector system for speaker verification. - Achintya Kumar Sarkar; Claude Barras (INTERSPEECH, 2013)

Person Instance Graphs for Named Speaker Identification in TV Broadcast. - Hervé Bredin; Antoine Laurent; Achintya Kumar Sarkar; Viet Bac Le; Sophie Rosset; Claude Barras (Odyssey, 2014)

Combination of Cepstral and Phonetically Discriminative Features for Speaker Verification. - Achintya Kumar Sarkar; Cong-Thanh Do; Viet Bac Le; Claude Barras (IEEE Signal Process. Lett., 2014)

Utterance Verification for Text-Dependent Speaker Recognition: A Comparative Assessment Using the RedDots Corpus. - 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 (INTERSPEECH, 2016)

Text Dependent Speaker Verification Using Un-Supervised HMM-UBM and Temporal GMM-UBM. - Achintya Kumar Sarkar; Zheng-Hua Tan (INTERSPEECH, 2016)

Further optimisations of constant Q cepstral processing for integrated utterance and text-dependent speaker verification. - Héctor Delgado; Massimiliano Todisco; Md. Sahidullah; Achintya Kumar Sarkar; Nicholas W. D. Evans; Tomi Kinnunen; Zheng-Hua Tan (SLT, 2016)

Effect of multi-condition training and speech enhancement methods on spoofing detection. - Hong Yu 006; Achintya Kumar Sarkar; Dennis Alexander Lehmann Thomsen; Zheng-Hua Tan; Zhanyu Ma; Jun Guo 002 (SPLINE, 2016)

Sub-vector Extraction and Cascade Post-Processing for Speaker Verification Using MLLR Super-vectors. - Achintya Kumar Sarkar; Claude Barras; Viet Bac Le; Driss Matrouf (CoRR, 2016)

Sub-vector based biometric speaker verification using MLLR super-vector. - Achintya Kumar Sarkar; Jean-François Bonastre (Int. J. Speech Technol., 2016)

A study on the roles of total variability space and session variability modeling in speaker recognition. - Achintya Kumar Sarkar; Jean-François Bonastre; Driss Matrouf (Int. J. Speech Technol., 2016)

RedDots replayed: A new replay spoofing attack corpus for text-dependent speaker verification research. - 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; et al. (ICASSP, 2017)

The I4U Mega Fusion and Collaboration for NIST Speaker Recognition Evaluation 2016. - Kong-Aik Lee; Ville Hautamäki; Tomi Kinnunen; Anthony Larcher; Chunlei Zhang; Andreas Nautsch; Themos Stafylakis; Gang Liu 001; Mickaël Rouvier; Wei Rao 002; Federico Alegre; J. Ma; et al. (INTERSPEECH, 2017)

Improving Speaker Verification Performance in Presence of Spoofing Attacks Using Out-of-Domain Spoofed Data. - Achintya Kumar Sarkar; Md. Sahidullah; Zheng-Hua Tan; Tomi Kinnunen (INTERSPEECH, 2017)

Time-Contrastive Learning Based Unsupervised DNN Feature Extraction for Speaker Verification. - Achintya Kumar Sarkar; Zheng-Hua Tan (CoRR, 2017)

Incorporating pass-phrase dependent background models for text-dependent speaker verification. - Achintya Kumar Sarkar; Zheng-Hua Tan (Comput. Speech Lang., 2018)

Time-Contrastive Learning Based Deep Bottleneck Features for Text-Dependent Speaker Verification. - Achintya Kumar Sarkar; Zheng-Hua Tan; Hao Tang 002; Suwon Shon; James R. Glass (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

On Bottleneck Features for Text-Dependent Speaker Verification Using X-vectors. - Achintya Kumar Sarkar; Zheng-Hua Tan (CoRR, 2020)

Data augmentation enhanced speaker enrollment for text-dependent speaker verification. - Achintya Kumar Sarkar; Himangshu Sarma; Priyanka Dwivedi; Zheng-Hua Tan (CoRR, 2020)

rVAD: An unsupervised segment-based robust voice activity detection method. - Zheng-Hua Tan; Achintya Kumar Sarkar; Najim Dehak (Comput. Speech Lang., 2020)

UIAI System for Short-Duration Speaker Verification Challenge 2020. - Md. Sahidullah; Achintya Kumar Sarkar; Ville Vestman; Xuechen Liu; Romain Serizel; Tomi Kinnunen; Zheng-Hua Tan; Emmanuel Vincent 001 (SLT, 2021)

Data Generation Using Pass-phrase-dependent Deep Auto-encoders for Text-Dependent Speaker Verification. - Achintya Kumar Sarkar; Md. Sahidullah; Zheng-Hua Tan (CoRR, 2021)

Self-segmentation of pass-phrase utterances for deep feature learning in text-dependent speaker verification. - Achintya Kumar Sarkar; Zheng-Hua Tan (Comput. Speech Lang., 2021)

Vocal Tract Length Perturbation for Text-Dependent Speaker Verification With Autoregressive Prediction Coding. - Achintya Kumar Sarkar; Zheng-Hua Tan (IEEE Signal Process. Lett., 2021)

On Training Targets and Activation Functions for Deep Representation Learning in Text-Dependent Speaker Verification. - Achintya Kumar Sarkar; Zheng-Hua Tan (CoRR, 2022)

Study of Various End-to-End Keyword Spotting Systems on the Bengali Language Under Low-Resource Condition. - Achintya Kumar Sarkar; Tulika Basu; Rajib Roy; Joyanta Basu; Michael Tongbram; Yambem Jina Chanu; Priyanka Dwivedi (SPECOM (2), 2023)

Feed-Forward Deep Neural Network (FFDNN)-Based Deep Features for Static Malware Detection. - Priyanka Singh; Samir Kumar Borgohain; Achintya Kumar Sarkar; Jayendra Kumar; Lakhan Dev Sharma (Int. J. Intell. Syst., 2023)

Application of Artificial Intelligence on Post Pandemic Situation and Lesson Learn for Future Prospects. - Priyanka Dwivedi; Achintya Kumar Sarkar; Chinmay Chakraborty; Monoj Singha; Vineet Rojwal (J. Exp. Theor. Artif. Intell., 2023)