C. Siddarth

Improved Acoustic-to-Articulatory Inversion Using Representations from Pretrained Self-Supervised Learning Models

In this work, we investigate the effectiveness of pretrained Self-Supervised Learning (SSL) features for learning the mapping for acoustic to articulatory inversion (AAI). Signal processing-based acoustic features such as MFCCs have been predominantly used for the AAI task with deep neural networks.…