UtterTune method enhances multilingual TTS pronunciation control

Researchers have developed UtterTune, a novel method for adapting multilingual text-to-speech (TTS) systems. This technique utilizes low-rank adaptation (LoRA) to enhance control over pronunciation and pitch accent for a target language, specifically Japanese in this study. UtterTune aims to improve G2P mapping and prosody modeling without an explicit G2P module, while also preserving naturalness and speaker similarity in a zero-shot setting. AI

IMPACT This research offers a new approach to fine-tuning TTS models for improved pronunciation control in specific languages.

RANK_REASON The cluster contains an academic paper detailing a new method for TTS systems. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

• arXiv
• Hugging Face
• Japanese
• Lora
• Shūhei Katō
• UtterTune

• paper
• model release

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