Saurabh Kataria

Orcid: 0000-0001-6311-2155

Affiliations:
  • Emory University, Atlanta, GA, USA
  • Indian Institute of Technology Kanpur, Kanpur, India (former)


According to our database1, Saurabh Kataria authored at least 23 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Time-Domain Speech Super-Resolution With GAN Based Modeling for Telephony Speaker Verification.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

2023
Self-FiLM: Conditioning GANs with self-supervised representations for bandwidth extension based speaker recognition.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Advances in Language Recognition in Low Resource African Languages: The JHU-MIT Submission for NIST LRE22.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2022
Defense against Adversarial Attacks on Hybrid Speech Recognition using Joint Adversarial Fine-tuning with Denoiser.
CoRR, 2022

Advances in Cross-Lingual and Cross-Source Audio-Visual Speaker Recognition: The JHU-MIT System for NIST SRE21.
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.
Proceedings of the Odyssey 2022: The Speaker and Language Recognition Workshop, 28 June, 2022

Chunking Defense for Adversarial Attacks on ASR.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Joint domain adaptation and speech bandwidth extension using time-domain GANs for speaker verification.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

AdvEst: Adversarial Perturbation Estimation to Classify and Detect Adversarial Attacks against Speaker Identification.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Defense against Adversarial Attacks on Hybrid Speech Recognition System using Adversarial Fine-tuning with Denoiser.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021
Multi-Channel Speaker Verification for Single and Multi-Talker Speech.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Deep Feature CycleGANs: Speaker Identity Preserving Non-Parallel Microphone-Telephone Domain Adaptation for Speaker Verification.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Perceptual Loss Based Speech Denoising with an Ensemble of Audio Pattern Recognition and Self-Supervised Models.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Single Channel Far Field Feature Enhancement For Speaker Verification In The Wild.
CoRR, 2020

Advances in Speaker Recognition for Telephone and Audio-Visual Data: the JHU-MIT Submission for NIST SRE19.
Proceedings of the Odyssey 2020: The Speaker and Language Recognition Workshop, 2020

Analysis of Deep Feature Loss Based Enhancement for Speaker Verification.
Proceedings of the Odyssey 2020: The Speaker and Language Recognition Workshop, 2020


Unsupervised Feature Enhancement for Speaker Verification.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Feature Enhancement with Deep Feature Losses for Speaker Verification.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Low-Resource Domain Adaptation for Speaker Recognition Using Cycle-Gans.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

2017
Hearing in a shoe-box: Binaural source position and wall absorption estimation using virtually supervised learning.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

VAST: The Virtual Acoustic Space Traveler Dataset.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

2015
Representation and modeling of spherical harmonics manifold for source localization.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015


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