24 citations · 38 across the 12 of their papers we have counts for
4 papers · 1 filter
Learning to Compute the Articulatory Representations of Speech with the MIRRORNET
Yashish M. Siriwardena, Carol Espy-Wilson, Shihab Shamma
Most organisms including humans function by coordinating and integrating sensory signals with motor actions to survive and accomplish desired tasks. Learning these complex sensorim…
An Empirical Analysis on the Vulnerabilities of End-to-End Speech Segregation Models
Rahil Parikh, Gaspar Rochette, Carol Espy-Wilson +1
End-to-end learning models have demonstrated a remarkable capability in performing speech segregation. Despite their wide-scope of real-world applications, little is known about th…
Acoustic To Articulatory Speech Inversion Using Multi-Resolution Spectro-Temporal Representations Of Speech Signals
Rahil Parikh, Nadee Seneviratne, Ganesh Sivaraman +2
Multi-resolution spectro-temporal features of a speech signal represent how the brain perceives sounds by tuning cortical cells to different spectral and temporal modulations. Thes…
The Mirrornet : Learning Audio Synthesizer Controls Inspired by Sensorimotor Interaction
Yashish M. Siriwardena, Guilhem Marion, Shihab Shamma
Experiments to understand the sensorimotor neural interactions in the human cortical speech system support the existence of a bidirectional flow of interactions between the auditor…