Building and Evaluating Fixed-Voice Thai TTS from Synthetic Speech
- 类型：arxiv
- 标识：2609.03502
- 链接：https://arxiv.org/abs/2609.03502
- 主分类：multimodal
- 形态：application
- TLDR：In low-resource settings, deploying TTS typically requires choosing between a large voice-cloning model with costly inference or a compact fixed-voice system that requires a speaker-specific corpus. We study a third route: using a large voice-cloning model as a programmable data source to turn a short voice reference (e.g., 15 seconds) into a compact fixed-voice student trained entirely on synthetic speech. This setting makes pipeline design consequential: teacher errors become training targets, while filtering failed generations can reduce coverage of difficult texts. Thai further introduces
- 副分类：evaluation
- 待LLM分类：否
- 来源文件：
- /inbox/tom/_candidates/2026-09-14-agent-rag-longcontext-candidates.json