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New TTS method achieves speaker stability for low-resource Greek

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a method to create high-quality Text-to-Speech (TTS) for low-resource languages like Modern Greek. The approach involves curating audiobook data using WhisperX for alignment and filtering, then fine-tuning the Parler-TTS model. By replacing LLM-generated style prompts with deterministic ones and employing a LoRA stage, the system achieves significant speaker consistency and low word error rates, demonstrating the feasibility of robust single-speaker TTS with limited data. AI

IMPACT Enables high-quality speech synthesis for languages with limited training data, potentially expanding accessibility.

RANK_REASON The cluster describes a research paper detailing a new method for low-resource TTS.

Read on Hugging Face Daily Papers →

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

New TTS method achieves speaker stability for low-resource Greek

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The cluster describes a research paper detailing a new method for low-resource TTS.
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COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Georgios Syllas, Efthymios Georgiou, Kosmas Kritsis, Alexandros Potamianos ·

    Deterministic Prompting for Speaker-Stable Low-Resource Greek TTS

    arXiv:2609.10022v1 Announce Type: cross Abstract: Modern TTS systems approach human quality for high-resource languages but degrade when clean speech data is scarce. Modern Greek exemplifies this, lacking the curated corpora behind state-of-the-art synthesis. We propose a data cu…

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

    Deterministic Prompting for Speaker-Stable Low-Resource Greek TTS

    Modern TTS systems approach human quality for high-resource languages but degrade when clean speech data is scarce. Modern Greek exemplifies this, lacking the curated corpora behind state-of-the-art synthesis. We propose a data curation recipe that transforms audiobook recordings…

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