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New method improves cross-lingual voice cloning by reducing accent leakage

By PulseAugur Editorial · [1 sources] ·

Researchers have developed Accent Analogy Guidance (AAG), a novel training-free method to improve cross-lingual voice cloning by reducing accent leakage. AAG works by subtracting an estimated accent direction from model predictions, allowing the voice to cancel out while retaining the desired accent. Experiments across four open TTS models, including OmniVoice and MaskGCT, show that AAG significantly enhances speaker similarity at equal accent levels compared to existing reweighting techniques. AI

IMPACT Enhances cross-lingual voice cloning by reducing accent leakage, potentially improving the naturalness of synthesized speech in different languages.

RANK_REASON The item describes a new method presented in a research paper for improving text-to-speech synthesis. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New method improves cross-lingual voice cloning by reducing accent leakage

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The item describes a new method presented in a research paper for improving text-to-speech synthesis. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

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

    Accent Analogy Guidance: More Speaker Similarity at Equal Accent in Cross-Lingual Voice Cloning

    In cross-lingual zero-shot text-to-speech, the accent of the reference leaks into the target speech. We propose accent analogy guidance (AAG), a training-free sampler term that subtracts an accent direction estimated from the model's own predictions for one synthetic voice render…

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