TY - GEN
T1 - Lightweight, Multi-Speaker, Multi-Lingual Indic Text-to-Speech
AU - Singh, Abhayjeet
AU - Nagireddi, Amala
AU - Deekshitha, G.
AU - Bandekar, Jesuraja
AU - Roopa, R.
AU - Badiger, Sandhya
AU - Udupa, Sathvik
AU - Ghosh, Prasanta Kumar
AU - Murthy, Hema A.
AU - Zen, Heiga
AU - Kumar, Pranaw
AU - Kant, Kamal
AU - Bole, Amol
AU - Singh, Bira Chandra
AU - Tokuda, Keiichi
AU - Hasegawa-Johnson, Mark
AU - Olbrich, Philipp
N1 - The creation of the dataset has been supported by Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) on behalf of the German Ministry for Economic Cooperation and Development.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Text-to-Speech (TTS)
KW - data-constrained multi-speaker
KW - end-to-end
KW - model compression
KW - multi-lingual TTS
KW - speech synthesis
UR - http://www.scopus.com/inward/record.url?scp=86000385806&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=86000385806&partnerID=8YFLogxK
U2 - 10.1109/ICASSP49357.2023.10433926
DO - 10.1109/ICASSP49357.2023.10433926
M3 - Conference contribution
AN - SCOPUS:86000385806
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
BT - ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023
Y2 - 4 June 2023 through 10 June 2023
ER -