2.2k citations · 7.1k across the 72 of their papers we have counts for
Showing 2023 · cs.SDShow all
2 papers · 2 filters
cs.SD2023
VANI: Very-lightweight Accent-controllable TTS for Native and Non-native speakers with Identity Preservation
Rohan Badlani, Akshit Arora, Subhankar Ghosh +5
We introduce VANI, a very lightweight multi-lingual accent controllable speech synthesis system. Our model builds upon disentanglement strategies proposed in RADMMM and supports ex…
cs.SD2023★ 1 cited
Multilingual Multiaccented Multispeaker TTS with RADTTS
Rohan Badlani, Rafael Valle, Kevin J. Shih +3
We work to create a multilingual speech synthesis system which can generate speech with the proper accent while retaining the characteristics of an individual voice. This is challe…