mlsanityData to 14 Oct 2026

Text to Speech System for Meitei Mayek Script

arXiv 2508.06870 ↗First posted 9 Aug 2025cs.CL cs.LG cs.SDcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 7 of its 11 references that are in the map. First posted on arXiv 9 Aug 2025.

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7 of 11 references.

References · 7

  1. 2020HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesiscited by 1,154
  2. 2017Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictionscited by 804
  3. 2017Tacotron: Towards End-to-End Speech Synthesiscited by 490
  4. 2022Towards Building Text-To-Speech Systems for the Next Billion Userscited by 27
  5. 2024IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTScited by 16
  6. 2022Low-Resource End-to-end Sanskrit TTS using Tacotron2, WaveGlow and Transfer Learningcited by 2
  7. 2024ELAICHI: Enhancing Low-resource TTS by Addressing Infrequent and Low-frequency Character Bigramscited by 2

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