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New GRAFT TTS system enhances pronunciation accuracy for difficult words

Researchers have developed GRAFT, a novel text-to-speech system designed to improve pronunciation accuracy for challenging words like proper nouns and technical terms. GRAFT utilizes a per-word pronunciation conditioning mechanism, allowing it to precisely control the pronunciation of specific words based on a short audio sample. This approach significantly reduces phoneme error rates and outperforms existing zero-shot systems in pronunciation accuracy while maintaining speaker similarity and naturalness. AI

IMPACT This research could lead to more natural and accurate text-to-speech systems, particularly for specialized vocabulary.

RANK_REASON The item is a research paper detailing a new method for text-to-speech pronunciation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

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New GRAFT TTS system enhances pronunciation accuracy for difficult words

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The item is a research paper detailing a new method for text-to-speech pronunciation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Antonis Asonitis, Francesco Verdini, Aref Farhadipour, Vijeta Avijeet, Pierre-Edouard Honnet, Marzieh Razavi, Juan Pablo Zuluaga Gomez ·

    GRAFT: Grafted Reference Audio for Fine-grained Pronunciation in Zero-shot Text-to-Speech

    arXiv:2607.02633v1 Announce Type: cross Abstract: We present GRAFT, a per-word pronunciation conditioning mechanism for text-to-speech neural codec language modeling. Existing systems reach high intelligibility and naturalness but inherit the ambiguity of text and mispronounce ra…