Text to Speech System for Meitei Mayek Script

Gangular Singh Irengbam, Nirvash Singh Wahengbam, Lanthoiba Meitei Khumanthem, Paikhomba Oinam
8/9/2025
cs.CLcs.LGcs.SD

No confident code implementation found for this paper.

Abstract

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.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

MunTTS: A Text-to-Speech System for Mundari

82% match1 repo82024

Kinship in Speech: Leveraging Linguistic Relatedness for Zero-Shot TTS in Indian Languages

79% match2025

MahaTTS: A Unified Framework for Multilingual Text-to-Speech Synthesis

78% match1 repo32025

A2TTS: TTS for Low Resource Indian Languages

78% match2025

RASMALAI: Resources for Adaptive Speech Modeling in Indian Languages with Accents and Intonations

78% match2025

Neural Multi-Speaker Voice Cloning for Nepali in Low-Resource Settings

77% match2026

Cite this paper

@article{irengbam2025text,
  title  = {Text to Speech System for Meitei Mayek Script},
  author = {Gangular Singh Irengbam and Nirvash Singh Wahengbam and Lanthoiba Meitei Khumanthem and Paikhomba Oinam},
  year   = {2025},
  eprint = {2508.06870},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2508.06870v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2508.06870.svg)](https://codeofpaper.com/paper/2508.06870)

Discussion