LatPhon: Lightweight Multilingual G2P for Romance Languages and English
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Abstract (arXiv)
Grapheme-to-phoneme (G2P) conversion is a key front-end for text-to-speech (TTS), automatic speech recognition (ASR), speech-to-speech translation (S2ST) and alignment systems, especially across multiple Latin-script languages.We present LatPhon, a 7.5 M - parameter Transformer jointly trained on six such languages--English, Spanish, French, Italian, Portuguese, and Romanian. On the public ipa-dict corpus, it attains a mean phoneme error rate (PER) of 3.5%, outperforming the byte-level ByT5 baseline (5.4%) and approaching language-specific WFSTs (3.2%) while occupying 30 MB of memory, which makes on-device deployment feasible when needed. These results indicate that compact multilingual G2P can serve as a universal front-end for Latin-language speech pipelines.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 5 of its 11 references that are in the map. First posted on arXiv 3 Sep 2025.
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5 of 11 references.
References · 5
- 2017Attention Is All You Needcited by 60,361
- 2016SGDR: Stochastic Gradient Descent with Warm Restartscited by 5,045
- 2021RoFormer: Enhanced Transformer with Rotary Position Embeddingcited by 4,703
- 2022ByT5 model for massively multilingual grapheme-to-phoneme conversioncited by 49
- 2023LiteG2P: A fast, light and high accuracy model for grapheme-to-phoneme conversioncited by 2
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Citing papers per year: 2025: 1.
1 paper.