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New Thai TTS model trained on synthetic speech for low-resource settings

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a novel method for creating compact, fixed-voice Text-to-Speech (TTS) models for low-resource languages like Thai. This approach utilizes a large voice-cloning model as a data generator to train a smaller, on-device model using entirely synthetic speech, derived from a short voice reference. The resulting Wayu-Paxa-TTS-Edge model demonstrates strong performance in accuracy and prosody, even outperforming its larger teacher model in some aspects, and is being open-sourced. AI

IMPACT Enables on-device Thai TTS in low-resource environments, potentially accelerating adoption of voice technologies in underserved regions.

RANK_REASON The cluster describes a research paper detailing a new method for building a TTS model.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New Thai TTS model trained on synthetic speech for low-resource settings

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The cluster describes a research paper detailing a new method for building a TTS model.
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Kunat Pipatanakul, Potsawee Manakul, Warit Sirichotedumrong, Sittipong Sripaisarnmongkol, Pakorn Nathong, Phatrasek Jirabovonvisut ·

    Building and Evaluating Fixed-Voice Thai TTS from Synthetic Speech

    arXiv:2609.03502v1 Announce Type: cross Abstract: In low-resource settings, deploying TTS typically requires choosing between a large voice-cloning model with costly inference or a compact fixed-voice system that requires a speaker-specific corpus. We study a third route: using a…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    Building and Evaluating Fixed-Voice Thai TTS from Synthetic Speech

    In low-resource settings, deploying TTS typically requires choosing between a large voice-cloning model with costly inference or a compact fixed-voice system that requires a speaker-specific corpus. We study a third route: using a large voice-cloning model as a programmable data …

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