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New Hebrew G2P systems improve text-to-speech accuracy

By PulseAugur Editorial · [3 sources] ·

Researchers have developed new methods for Hebrew grapheme-to-phoneme (G2P) conversion, crucial for improving text-to-speech (TTS) applications. The ReNikud system utilizes audio supervision from unlabeled Hebrew audio to generate phonemic transcriptions that reflect natural spoken norms, overcoming limitations of traditional methods that rely on scarce vocalization data. Phonikud, another framework, focuses on producing fully specified International Phonetic Alphabet (IPA) transcriptions by augmenting a base diacritizer, aiming for more phonetically accurate Hebrew TTS. Both approaches have demonstrated superior performance on Hebrew G2P benchmarks compared to previous state-of-the-art methods, with code and models being released to foster further research. AI

IMPACT These advancements in Hebrew G2P conversion are expected to significantly improve the quality and phonetic accuracy of text-to-speech systems for the language.

RANK_REASON Two research papers introducing new methods for Hebrew grapheme-to-phoneme conversion.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

New Hebrew G2P systems improve text-to-speech accuracy

COVERAGE [3]

  1. arXiv cs.CL TIER_1 English(EN) · Maxim Melichov, Yakov Kolani, Morris Alper ·

    ReNikud: Audio-Supervised Hebrew Grapheme-to-Phoneme Conversion

    arXiv:2606.20179v1 Announce Type: new Abstract: Grapheme-to-phoneme (G2P) conversion for Modern Hebrew is needed for applications like text-to-speech (TTS), but is challenging due to the language's abjad writing system, which leaves vowels largely unwritten, creating substantial …

  2. arXiv cs.CL TIER_1 English(EN) · Morris Alper ·

    ReNikud: Audio-Supervised Hebrew Grapheme-to-Phoneme Conversion

    Grapheme-to-phoneme (G2P) conversion for Modern Hebrew is needed for applications like text-to-speech (TTS), but is challenging due to the language's abjad writing system, which leaves vowels largely unwritten, creating substantial ambiguity. Standard approaches first predict vow…

  3. arXiv cs.CL TIER_1 English(EN) · Yakov Kolani, Maxim Melichov, Cobi Calev, Morris Alper ·

    Phonikud: Overcoming Phonetic Underspecification for Hebrew Text-To-Speech

    arXiv:2506.12311v3 Announce Type: replace Abstract: Text-to-speech (TTS) for Modern Hebrew is challenged by the language's orthographic complexity, with existing solutions ignoring underspecified phonetic features such as stress. We present a framework for more phonetically accur…

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