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Lightweight, Multi-Speaker, Multi-Lingual Indic Text-to-Speech

Singh, A and Nagireddi, A and Deekshitha, G and Bandekar, J and Roopa, R and Badiger, S and Udupa, S and Ghosh, PK and Murthy, HA and Zen, H and Kumar, P and Kant, K and Bole, A and Singh, BC and Tokuda, K and Hasegawa-Johnson, M and Olbrich, P (2023) Lightweight, Multi-Speaker, Multi-Lingual Indic Text-to-Speech. In: 48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023, 4 June 2023 through 10 June 2023, Rhodes Island.

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Official URL: https://doi.org/10.1109/ICASSP49357.2023.10433926

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. © 2023 IEEE.

Item Type: Conference Paper
Publication: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords: Linguistics; Signal processing, Data-constrained multi-speaker; End to end; Grand Challenge; Model compression; Multi-lingual text-to-speech; Signal-processing; Speech models; Text to speech; Text-to-speech, Speech synthesis
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 03 Jul 2024 09:47
Last Modified: 03 Jul 2024 09:47
URI: http://eprints.iisc.ac.in/id/eprint/84538

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