activity
20192022
most citedSingle Channel Far Field Feature Enhancement For Speaker Verification In The Wild

3 citations · 6 across the 5 of their papers we have counts for

collaborators

12 papers

eess.AS20223 cited

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

Sonal Joshi, Saurabh Kataria, Yiwen Shao +4

Adversarial attacks are a threat to automatic speech recognition (ASR) systems, and it becomes imperative to propose defenses to protect them. In this paper, we perform experiments…

eess.AS2022

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

Sonal Joshi, Saurabh Kataria, Jesus Villalba +1

Adversarial attacks pose a severe security threat to the state-of-the-art speaker identification systems, thereby making it vital to propose countermeasures against them. Building…

eess.AS2022

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

Saurabh Kataria, Jesús Villalba, Laureano Moro-Velázquez +1

Speech systems developed for a particular choice of acoustic domain and sampling frequency do not translate easily to others. The usual practice is to learn domain adaptation and b…

eess.AS2021

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

Saurabh Kataria, Jesús Villalba, Piotr Żelasko +2

With the increase in the availability of speech from varied domains, it is imperative to use such out-of-domain data to improve existing speech systems. Domain adaptation is a prom…

eess.AS2020

Perceptual Loss based Speech Denoising with an ensemble of Audio Pattern Recognition and Self-Supervised Models

Saurabh Kataria, Jesús Villalba, Najim Dehak

Deep learning based speech denoising still suffers from the challenge of improving perceptual quality of enhanced signals. We introduce a generalized framework called Perceptual En…

eess.AS2020

Multi-Channel Speaker Verification for Single and Multi-talker Speech

Saurabh Kataria, Shi-Xiong Zhang, Dong Yu

To improve speaker verification in real scenarios with interference speakers, noise, and reverberation, we propose to bring together advancements made in multi-channel speech featu…