{
  "id": 751,
  "url": "https://arxiv.org/abs/2606.21882v1",
  "title": "Streaming T5-based Text-to-Speech Synthesis with Limited Lookahead",
  "summary": "Streaming text-to-speech synthesis in cascaded LLM-TTS systems still faces latency challenges as most TTS models require full context before initiating generation. We present S5-TTS, a streaming variant of T5-TTS that enables low-latency, word-by-word incremental speech synthesis through encoder-decoder language modeling and monotonic alignment learning. S5-TTS begins generating speech immediately after receiving the first few words, substantially reducing end-to-end response latency. To maintai",
  "authors": "Muyang Du, Jason Roche, Junjie Lai",
  "category": "research",
  "topics": "safety-alignment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-20T04:47:45.000Z",
  "fetched_at": "2026-07-14T14:14:46.034Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/751",
  "original_url": "https://arxiv.org/abs/2606.21882v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}