FastThaiG2P: Lightning-fast Thai Grapheme-to-phoneme Conversion for Voice Agent Pipelines
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Computer Science > Computation and Language
arXiv:2608.12814 (cs)
[Submitted on 13 Aug 2026]
Title:FastThaiG2P: Lightning-fast Thai Grapheme-to-phoneme Conversion for Voice Agent Pipelines
Authors:Charin Polpanumas
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Abstract:FastThaiG2P provides sub-millisecond Thai grapheme-to-phoneme conversion for text-to-speech pipelines (International Phonetic Alphabet and Kokoro-TTS conventions) using a PyThaiNLP-tokenized, extensible dictionary and normalization rules for common Central Thai speech. The approach achieves an average latency of 0.15 ms per utterance on a benchmark of 27,242 synthetically generated utterances, of which 30\% is spent on tokenization, 12\% on normalization, and 58\% on out-of-vocabulary fallbacks (0.5\% OOV rate). To demonstrate its effectiveness, we used FastThaiG2P to phonemize Som-TTS, an open dataset containing 20 hours of grapheme-and-audio pairs, then trained an 82M-parameter StyleTTS 2 model based on a Kokoro-TTS recipe. The resulting model vocalizes intelligible Thai speech suitable for prototyping and development at 0.25 real-time factor (4x real-time) with ONNX inference on CPU.
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2608.12814 [cs.CL] |
| (or arXiv:2608.12814v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2608.12814
arXiv-issued DOI via DataCite (pending registration)
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View a PDF of the paper titled FastThaiG2P: Lightning-fast Thai Grapheme-to-phoneme Conversion for Voice Agent Pipelines, by Charin Polpanumas
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