MunTTS: A Text-to-Speech System for Mundari

We present MunTTS, an end-to-end text-to-speech (TTS) system specifically for Mundari, a low-resource Indian language of the Austo-Asiatic family. Our work addresses the gap in linguistic technology for underrepresented languages by collecting and processing data to build a speech synthesis system....

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Bibliographic Details
Published in:arXiv.org 2024-01
Main Authors: Gumma, Varun, Hada, Rishav, Yadavalli, Aditya, Gogoi, Pamir, Mondal, Ishani, Seshadri, Vivek, Bali, Kalika
Format: Article
Language:English
Subjects:
Data processing
Speech recognition
Online Access:Get full text
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Summary:We present MunTTS, an end-to-end text-to-speech (TTS) system specifically for Mundari, a low-resource Indian language of the Austo-Asiatic family. Our work addresses the gap in linguistic technology for underrepresented languages by collecting and processing data to build a speech synthesis system. We begin our study by gathering a substantial dataset of Mundari text and speech and train end-to-end speech models. We also delve into the methods used for training our models, ensuring they are efficient and effective despite the data constraints. We evaluate our system with native speakers and objective metrics, demonstrating its potential as a tool for preserving and promoting the Mundari language in the digital age.
ISSN:2331-8422