Text to Speech System for Meitei Mayek Script

Fuente: arXiv
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Main Authors: Irengbam, Gangular Singh, Wahengbam, Nirvash Singh, Khumanthem, Lanthoiba Meitei, Oinam, Paikhomba
Format: Preprint
Published: 2025
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author Irengbam, Gangular Singh
Wahengbam, Nirvash Singh
Khumanthem, Lanthoiba Meitei
Oinam, Paikhomba
author_facet Irengbam, Gangular Singh
Wahengbam, Nirvash Singh
Khumanthem, Lanthoiba Meitei
Oinam, Paikhomba
contents This paper presents the development of a Text-to-Speech (TTS) system for the Manipuri language using the Meitei Mayek script. Leveraging Tacotron 2 and HiFi-GAN, we introduce a neural TTS architecture adapted to support tonal phonology and under-resourced linguistic environments. We develop a phoneme mapping for Meitei Mayek to ARPAbet, curate a single-speaker dataset, and demonstrate intelligible and natural speech synthesis, validated through subjective and objective metrics. This system lays the groundwork for linguistic preservation and technological inclusion of Manipuri.
format Preprint
id arxiv_https___arxiv_org_abs_2508_06870
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Text to Speech System for Meitei Mayek Script
Irengbam, Gangular Singh
Wahengbam, Nirvash Singh
Khumanthem, Lanthoiba Meitei
Oinam, Paikhomba
Computation and Language
Machine Learning
Sound
Audio and Speech Processing
This paper presents the development of a Text-to-Speech (TTS) system for the Manipuri language using the Meitei Mayek script. Leveraging Tacotron 2 and HiFi-GAN, we introduce a neural TTS architecture adapted to support tonal phonology and under-resourced linguistic environments. We develop a phoneme mapping for Meitei Mayek to ARPAbet, curate a single-speaker dataset, and demonstrate intelligible and natural speech synthesis, validated through subjective and objective metrics. This system lays the groundwork for linguistic preservation and technological inclusion of Manipuri.
title Text to Speech System for Meitei Mayek Script
topic Computation and Language
Machine Learning
Sound
Audio and Speech Processing
url https://arxiv.org/abs/2508.06870