Devang S. Ram Mohan — accepted AI-conference papers

2024

Controllable Prosody Generation with Partial Inputs

Dan-Andrei Iliescu, Devang S. Ram Mohan, Tian Huey Teh, Zack Hodari

ICASSP 2024accepted

We address the problem of human-in-the-loop control for generating prosody in the context of text-to-speech synthesis. Controlling prosody is challenging because existing generative models lack an efficient interface through which users can modify the output quickly and precisely. To solve this, we…

Cited by 0 Source ↗Scholar ↗

2023

Ensemble Prosody Prediction For Expressive Speech Synthesis

Tian Huey Teh, Vivian Hu, Devang S. Ram Mohan, Zack Hodari, Christopher G. R. Wallis, Tomás Gómez Ibarrondo +4

ICASSP 2023accepted

Generating expressive speech with rich and varied prosody continues to be a challenge for Text-to-Speech. Most efforts have focused on sophisticated neural architectures intended to better model the data distribution. Yet, in evaluations it is generally found that no single model is preferred for al…

Cited by 4 Source ↗Scholar ↗