34 citations · 37 across the 5 of their papers we have counts for
5 papers
Speech Entrainment in Multi-Party Conversations with a Digital Agent
Nicholas Mehlman, Kaitlin Zareno, Kleanthis Avramidis +2
It has been widely observed that individuals engaged in conversation tend to adapt their speaking style to more closely match the other interlocutors. However, most prior work has…
Scaling and Distilling Transformer Models for sEMG
Nicholas Mehlman, Jean-Christophe Gagnon-Audet, Michael Shvartsman +3
Surface electromyography (sEMG) signals offer a promising avenue for developing innovative human-computer interfaces by providing insights into muscular activity. However, the limi…
A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness
Tiantian Feng, Rajat Hebbar, Nicholas Mehlman +3
Speech-centric machine learning systems have revolutionized many leading domains ranging from transportation and healthcare to education and defense, profoundly changing how people…
Mel Frequency Spectral Domain Defenses against Adversarial Attacks on Speech Recognition Systems
Nicholas Mehlman, Anirudh Sreeram, Raghuveer Peri +1
A variety of recent works have looked into defenses for deep neural networks against adversarial attacks particularly within the image processing domain. Speech processing applicat…
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…