MahtaFetrat/LLM-Powered-G2P
Code and Resources for "LLM-Powered Grapheme-to-Phoneme Conversion: Benchmark and Case Study", introducing methods to leverage LLMs for G2P tasks without additional training, featuring Sentence-Bench and Kaamel-Dict.
This project helps speech processing engineers and linguists accurately convert written words (graphemes) into their spoken sounds (phonemes), especially for text-to-speech systems. It takes written text, even complex cases like homographs, and produces precise phonetic transcriptions. This is particularly useful for developing speech applications in languages like Persian.
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Use this if you need to convert written text into its phonetic pronunciation for speech synthesis, especially in languages with complex pronunciation rules or when traditional G2P tools struggle with context-dependent words.
Not ideal if you only need basic, rule-based grapheme-to-phoneme conversion for widely supported languages where context and homographs are not a significant concern.
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May 21, 2025
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