409 citations · 1.5k across the 95 of their papers we have counts for
111 papers
Speech Robust Bench: A Robustness Benchmark For Speech Recognition
Muhammad A. Shah, David Solans Noguero, Mikko A. Heikkila +2
As Automatic Speech Recognition (ASR) models become ever more pervasive, it is important to ensure that they make reliable predictions under corruptions present in the physical and…
Fixed Inter-Neuron Covariability Induces Adversarial Robustness
Muhammad Ahmed Shah, Bhiksha Raj
The vulnerability to adversarial perturbations is a major flaw of Deep Neural Networks (DNNs) that raises question about their reliability when in real-world scenarios. On the othe…
Training on Foveated Images Improves Robustness to Adversarial Attacks
Muhammad A. Shah, Bhiksha Raj
Deep neural networks (DNNs) have been shown to be vulnerable to adversarial attacks -- subtle, perceptually indistinguishable perturbations of inputs that change the response of th…
The Hidden Dance of Phonemes and Visage: Unveiling the Enigmatic Link between Phonemes and Facial Features
Liao Qu, Xianwei Zou, Xiang Li +3
This work unveils the enigmatic link between phonemes and facial features. Traditional studies on voice-face correlations typically involve using a long period of voice input, incl…
Rethinking Voice-Face Correlation: A Geometry View
Xiang Li, Yandong Wen, Muqiao Yang +3
Previous works on voice-face matching and voice-guided face synthesis demonstrate strong correlations between voice and face, but mainly rely on coarse semantic cues such as gender…
BASS: Block-wise Adaptation for Speech Summarization
Roshan Sharma, Kenneth Zheng, Siddhant Arora +3
End-to-end speech summarization has been shown to improve performance over cascade baselines. However, such models are difficult to train on very large inputs (dozens of minutes or…