LIMMITS’24: Multi-Speaker, Multi-Lingual Indic TTS with Voice Cloning
Abhayjeet Singh, Amala Nagireddi, G Deekshitha, Jesuraja Bandekar, R Roopa, Sandhya Badiger, Sathvik Udupa, Prasanta Kumar Ghosh, Hema A. Murthy, Pranaw Kumar, Keiichi Tokuda, Mark Hasegawa‐Johnson, Philipp Olbrich · 2024
The Multi-speaker, Multi-lingual Indic TTS with voice cloning (LIMMITS’24) challenge is organized as part of the ICASSP 2024 signal processing grand challenge. LIMMITS’24 aims at the development of voice cloning for multi-speaker, multi-lingual Text-to-Speech (TTS) model. Towards this, 80 hours of TTS data has been released in each of Bengali, Chhattisgarhi, English (Indian), and Kannada languages. This is in addition to Telugu, Hindi, and Marathi data released in the LIMMITS’23. The challenge encourages the advancement of TTS in Indian Languages as well as the development of multi-speaker voice cloning techniques for TTS. The three tracks of LIMMITS’24 have provided an opportunity for various researchers and practitioners around the world to explore the state of the art in TTS research.