FastThaiG2P：面向语音智能体流水线的极速泰语字素转音素转换工具

中文摘要 AI 辅助

FastThaiG2P可为文本转语音流水线提供亚毫秒级的泰语字素转音素转换服务，遵循国际音标（IPA）与Kokoro-TTS规范，采用经PyThaiNLP分词的可扩展字典及通用中部泰语语音的归一化规则。该方法在包含27242条人工生成语句的基准测试中，单语句平均延迟为0.15毫秒，其中30%耗时用于分词，12%用于归一化，58%用于未登录词（OOV）的 fallback 处理（OOV率为0.5%）。为验证其有效性，研究人员使用FastThaiG2P对Som-TTS（含20小时字素-音频对的开放数据集）进行音素化，随后基于Kokoro-TTS配方训练了参数规模为82M的StyleTTS 2模型，该模型在CPU上通过ONNX推理时，语音合成的实时率为0.25（即4倍实时），可生成清晰的泰语语音，适用于原型开发与测试。

英文摘要

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.

发表机构

• AWS（亚马逊云科技）

机构由 AI 辅助整理，请以论文原文为准。