Lightweight, Multi-Speaker, Multi-Lingual Indic Text-to-Speech
Abhayjeet Singh, Amala Nagireddi, Deekshitha G, Jesuraja Bandekar, Roopa R., Sandhya Badiger, Sathvik Udupa, Prasanta Kumar Ghosh
Abstract
The Lightweight, Multi-speaker, Multi-lingual Indic Text-to-Speech (LIMMITS’23) challenge is organized as part of the ICASSP 2023 signal processing grand challenge. LIMMITS’23 aims at the development of a lightweight, multi-speaker, multi-lingual Text to Speech (TTS) model using datasets in Marathi, Hindi, and Telugu. The challenge encourages the advancement of TTS in Indian Languages as well as the development of techniques involved in TTS data selection and model compression. The 3 tracks of LIMMITS’23 have provided an opportunity for various researchers and practitioners around the world to explore the state of the art in TTS research.
BibTeX
@inproceedings{icassp2023_lightweightmulti,
title = {Lightweight, Multi-Speaker, Multi-Lingual Indic Text-to-Speech},
author = {Abhayjeet Singh and Amala Nagireddi and Deekshitha G and Jesuraja Bandekar and Roopa R. and Sandhya Badiger and Sathvik Udupa and Prasanta Kumar Ghosh and Hema A. Murthy and Heiga Zen and Pranaw Kumar and Kamal Kant and Amol Bole and Bira Chandra Singh and Keiichi Tokuda and Mark Hasegawa-Johnson and Philipp Olbrich},
booktitle = {ICASSP 2023},
year = {2023}
}