28 citations · 97 across the 30 of their papers we have counts for
26 papers · 1 filter
Perceptual-based deep-learning denoiser as a defense against adversarial attacks on ASR systems
Anirudh Sreeram, Nicholas Mehlman, Raghuveer Peri +2
In this paper we investigate speech denoising as a defense against adversarial attacks on automatic speech recognition (ASR) systems. Adversarial attacks attempt to force misclassi…
Automated Evaluation Of Psychotherapy Skills Using Speech And Language Technologies
Nikolaos Flemotomos, Victor R. Martinez, Zhuohao Chen +13
With the growing prevalence of psychological interventions, it is vital to have measures which rate the effectiveness of psychological care to assist in training, supervision, and…
Front-end Diarization for Percussion Separation in Taniavartanam of Carnatic Music Concerts
Nauman Dawalatabad, Jilt Sebastian, Jom Kuriakose +3
Instrument separation in an ensemble is a challenging task. In this work, we address the problem of separating the percussive voices in the taniavartanam segments of Carnatic music…
End-to-End Neural Systems for Automatic Children Speech Recognition: An Empirical Study
Prashanth Gurunath Shivakumar, Shrikanth Narayanan
A key desiderata for inclusive and accessible speech recognition technology is ensuring its robust performance to children's speech. Notably, this includes the rapidly advancing ne…
Multi-Scale Speaker Diarization With Neural Affinity Score Fusion
Tae Jin Park, Manoj Kumar, Shrikanth Narayanan
Identifying the identity of the speaker of short segments in human dialogue has been considered one of the most challenging problems in speech signal processing. Speaker representa…
Adversarial defense for deep speaker recognition using hybrid adversarial training
Monisankha Pal, Arindam Jati, Raghuveer Peri +3
Deep neural network based speaker recognition systems can easily be deceived by an adversary using minuscule imperceptible perturbations to the input speech samples. These adversar…