189 citations · 391 across the 11 of their papers we have counts for
3 papers · 1 filter
Acoustic-to-articulatory Speech Inversion with Multi-task Learning
Yashish M. Siriwardena, Ganesh Sivaraman, Carol Espy-Wilson
Multi-task learning (MTL) frameworks have proven to be effective in diverse speech related tasks like automatic speech recognition (ASR) and speech emotion recognition. This paper…
Audio Data Augmentation for Acoustic-to-articulatory Speech Inversion using Bidirectional Gated RNNs
Yashish M. Siriwardena, Ahmed Adel Attia, Ganesh Sivaraman +1
Data augmentation has proven to be a promising prospect in improving the performance of deep learning models by adding variability to training data. In previous work with developin…
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…