18 citations · 55 across the 20 of their papers we have counts for
26 papers · 1 filter
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…
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…
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…
Unsupervised Speech Segmentation and Variable Rate Representation Learning using Segmental Contrastive Predictive Coding
Saurabhchand Bhati, Jesús Villalba, Piotr Żelasko +2
Typically, unsupervised segmentation of speech into the phone and word-like units are treated as separate tasks and are often done via different methods which do not fully leverage…
The JHU submission to VoxSRC-21: Track 3
Jejin Cho, Jesus Villalba, Najim Dehak
This technical report describes Johns Hopkins University speaker recognition system submitted to Voxceleb Speaker Recognition Challenge 2021 Track 3: Self-supervised speaker verifi…
Representation Learning to Classify and Detect Adversarial Attacks against Speaker and Speech Recognition Systems
Jesús Villalba, Sonal Joshi, Piotr Żelasko +1
Adversarial attacks have become a major threat for machine learning applications. There is a growing interest in studying these attacks in the audio domain, e.g, speech and speaker…