70 citations · 71 across the 3 of their papers we have counts for
3 papers
Improving Robustness of LLM-based Speech Synthesis by Learning Monotonic Alignment
Paarth Neekhara, Shehzeen Hussain, Subhankar Ghosh +4
Large Language Model (LLM) based text-to-speech (TTS) systems have demonstrated remarkable capabilities in handling large speech datasets and generating natural speech for new spea…
ACE-VC: Adaptive and Controllable Voice Conversion using Explicitly Disentangled Self-supervised Speech Representations
Shehzeen Hussain, Paarth Neekhara, Jocelyn Huang +2
In this work, we propose a zero-shot voice conversion method using speech representations trained with self-supervised learning. First, we develop a multi-task model to decompose a…
Unsupervised Image-to-Image Translation with Generative Adversarial Networks
Hao Dong, Paarth Neekhara, Chao Wu +1
It's useful to automatically transform an image from its original form to some synthetic form (style, partial contents, etc.), while keeping the original structure or semantics. We…