Saurabh Kataria

According to our database, Saurabh Kataria authored at least 39 papers between 2008 and 2024.

Collaborative distances:

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

2024

Time-Domain Speech Super-Resolution With GAN Based Modeling for Telephony Speaker Verification.

Saurabh Kataria, Jesús Villalba, Laureano Moro-Velázquez, Piotr Zelasko, Najim Dehak

IEEE ACM Trans. Audio Speech Lang. Process., 2024

2022

Defense against Adversarial Attacks on Hybrid Speech Recognition using Joint Adversarial Fine-tuning with Denoiser.

Sonal Joshi, Saurabh Kataria, Yiwen Shao, Piotr Zelasko, Jesús Villalba, Sanjeev Khudanpur, Najim Dehak

CoRR, 2022

Advances in Cross-Lingual and Cross-Source Audio-Visual Speaker Recognition: The JHU-MIT System for NIST SRE21.

Jesús Villalba, Bengt J. Borgstrom, Saurabh Kataria, Magdalena Rybicka, Carlos D. Castillo, Jaejin Cho, L. Paola García-Perera, Pedro A. Torres-Carrasquillo, Najim Dehak

Proceedings of the Odyssey 2022: The Speaker and Language Recognition Workshop, 28 June, 2022

Advances in Speaker Recognition for Multilingual Conversational Telephone Speech: The JHU-MIT System for NIST SRE20 CTS Challenge.

Jesús Villalba, Bengt J. Borgstrom, Saurabh Kataria, Jaejin Cho, Pedro A. Torres-Carrasquillo, Najim Dehak

Proceedings of the Odyssey 2022: The Speaker and Language Recognition Workshop, 28 June, 2022

Chunking Defense for Adversarial Attacks on ASR.

Yiwen Shao, Jesús Villalba, Sonal Joshi, Saurabh Kataria, Sanjeev Khudanpur, Najim Dehak

Proceedings of the Interspeech 2022, 2022

Joint domain adaptation and speech bandwidth extension using time-domain GANs for speaker verification.

Saurabh Kataria, Jesús Villalba, Laureano Moro-Velázquez, Najim Dehak

Proceedings of the Interspeech 2022, 2022

AdvEst: Adversarial Perturbation Estimation to Classify and Detect Adversarial Attacks against Speaker Identification.

Sonal Joshi, Saurabh Kataria, Jesús Villalba, Najim Dehak

Proceedings of the Interspeech 2022, 2022

Defense against Adversarial Attacks on Hybrid Speech Recognition System using Adversarial Fine-tuning with Denoiser.

Sonal Joshi, Saurabh Kataria, Yiwen Shao, Piotr Zelasko, Jesús Villalba, Sanjeev Khudanpur, Najim Dehak

Proceedings of the Interspeech 2022, 2022

2021

Multi-Channel Speaker Verification for Single and Multi-Talker Speech.

Saurabh Kataria, Shi-Xiong Zhang, Dong Yu

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Deep Feature CycleGANs: Speaker Identity Preserving Non-Parallel Microphone-Telephone Domain Adaptation for Speaker Verification.

Saurabh Kataria, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Perceptual Loss Based Speech Denoising with an Ensemble of Audio Pattern Recognition and Self-Supervised Models.

Saurabh Kataria, Jesús Villalba, Najim Dehak

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Single Channel Far Field Feature Enhancement For Speaker Verification In The Wild.

Phani Sankar Nidadavolu, Saurabh Kataria, L. Paola García-Perera, Jesús Villalba, Najim Dehak

CoRR, 2020

Advances in Speaker Recognition for Telephone and Audio-Visual Data: the JHU-MIT Submission for NIST SRE19.

Jesús Antonio Villalba López, Daniel Garcia-Romero, Nanxin Chen, Gregory Sell, Jonas Borgstrom, Alan McCree, Leibny Paola García-Perera, Saurabh Kataria, Phani Sankar Nidadavolu, Pedro Torres-Carrasquiilo, Najim Dehak

Proceedings of the Odyssey 2020: The Speaker and Language Recognition Workshop, 2020

Analysis of Deep Feature Loss Based Enhancement for Speaker Verification.

Saurabh Kataria, Phani Sankar Nidadavolu, Jesús Villalba, Najim Dehak

Proceedings of the Odyssey 2020: The Speaker and Language Recognition Workshop, 2020

Speaker Detection in the Wild: Lessons Learned from JSALT 2019.

Leibny Paola García-Perera, Jesús Villalba, Hervé Bredin, Jun Du, Diego Castán, Alejandrina Cristià, Latané Bullock, Ling Guo, Koji Okabe, Phani Sankar Nidadavolu, Saurabh Kataria, Sizhu Chen, Léo Galmant, Marvin Lavechin, Lei Sun, Marie-Philippe Gill, Bar Ben-Yair, Sajjad Abdoli, Xin Wang, Wassim Bouaziz, Hadrien Titeux, Emmanuel Dupoux, Kong Aik Lee, Najim Dehak

Proceedings of the Odyssey 2020: The Speaker and Language Recognition Workshop, 2020

Unsupervised Feature Enhancement for Speaker Verification.

Phani Sankar Nidadavolu, Saurabh Kataria, Jesús Villalba, L. Paola García-Perera, Najim Dehak

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Feature Enhancement with Deep Feature Losses for Speaker Verification.

Saurabh Kataria, Phani Sankar Nidadavolu, Jesús Villalba, Nanxin Chen, L. Paola García-Perera, Najim Dehak

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Low-Resource Domain Adaptation for Speaker Recognition Using Cycle-Gans.

Phani Sankar Nidadavolu, Saurabh Kataria, Jesús Villalba, Najim Dehak

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

2017

Long-Term Memory Networks for Question Answering.

Fenglong Ma, Radha Chitta, Saurabh Kataria, Jing Zhou, Palghat Ramesh, Tong Sun, Jing Gao

Proceedings of the IJCAI Workshop on Semantic Machine Learning (SML 2017) co-located with 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017

Hearing in a shoe-box: Binaural source position and wall absorption estimation using virtually supervised learning.

Saurabh Kataria, Clément Gaultier, Antoine Deleforge

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

VAST: The Virtual Acoustic Space Traveler Dataset.

Clément Gaultier, Saurabh Kataria, Antoine Deleforge

Proceedings of the Latent Variable Analysis and Signal Separation, 2017

2016

Recursive Neural Language Architecture for Tag Prediction.

Saurabh Kataria

CoRR, 2016

2015

Recommending Users and Communities in Social Media.

Lei Li, Wei Peng, Saurabh Kataria, Tong Sun, Tao Li

ACM Trans. Knowl. Discov. Data, 2015

Distributed Representations for Content-Based and Personalized Tag Recommendation.

Saurabh Kataria, Arvind Agarwal

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Supervised Topic Models for Microblog Classification.

Saurabh Kataria, Arvind Agarwal

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Representation and modeling of spherical harmonics manifold for source localization.

Arun Parthasarathy, Saurabh Kataria, Lalan Kumar, Rajesh M. Hegde

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Multitask Learning for Sequence Labeling Tasks.

Arvind Agarwal, Saurabh Kataria

CoRR, 2014

2013

FRec: a novel framework of recommending users and communities in social media.

Lei Li, Wei Peng, Saurabh Kataria, Tong Sun, Tao Li

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Recommending citations: translating papers into references.

Wenyi Huang, Saurabh Kataria, Cornelia Caragea, Prasenjit Mitra, C. Lee Giles, Lior Rokach

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Classifying Scientific Publications Using Abstract Features.

Cornelia Caragea, Adrian Silvescu, Saurabh Kataria, Doina Caragea, Prasenjit Mitra

Proceedings of the Ninth Symposium on Abstraction, Reformulation, and Approximation, 2011

Entity disambiguation with hierarchical topic models.

Saurabh Kataria, Krishnan S. Kumar, Rajeev Rastogi, Prithviraj Sen, Srinivasan H. Sengamedu

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Context Sensitive Topic Models for Author Influence in Document Networks.

Saurabh Kataria, Prasenjit Mitra, Cornelia Caragea, C. Lee Giles

Proceedings of the IJCAI 2011, 2011

2010

Font retrieval on a large scale: An experimental study.

Saurabh Kataria, Luca Marchesotti, Florent Perronnin

Proceedings of the International Conference on Image Processing, 2010

Utilizing Context in Generative Bayesian Models for Linked Corpus.

Saurabh Kataria, Prasenjit Mitra, Sumit Bhatia

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Automated analysis of images in documents for intelligent document search.

Xiaonan Lu, Saurabh Kataria, William J. Brouwer, James Ze Wang, Prasenjit Mitra, C. Lee Giles

Int. J. Document Anal. Recognit., 2009

2008

On Utilization of Information Extracted from Graph Images in Digital Documents.

Saurabh Kataria

Bull. IEEE Tech. Comm. Digit. Libr., 2008

Automatic Identification and Data Extraction from 2-Dimensional Plots in Digital Documents

William J. Brouwer, Saurabh Kataria, Sujatha Das, Prasenjit Mitra, C. Lee Giles

CoRR, 2008

Segregating and extracting overlapping data points in two-dimensional plots.

William Browuer, Saurabh Kataria, Sujatha Das, Prasenjit Mitra, C. Lee Giles

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2008

Automatic Extraction of Data Points and Text Blocks from 2-Dimensional Plots in Digital Documents.

Saurabh Kataria, William Browuer, Prasenjit Mitra, C. Lee Giles

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008