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Phoenix-VAD: semantic end-of-speech detection in streaming
Published on September 4, 2026, the article presents an LLM-based model for semantically detecting the end of speech in full-duplex voice interactions, using sliding-window training.
The article presents Phoenix-VAD, an LLM-based model for detecting semantically when a speaker has finished speaking during full-duplex streaming interactions. The described approach uses a sliding-window training strategy. The material is aimed at engineers building voice dialogue systems; the available summary does not report quantitative results or further evaluation details.
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Original source: Phoenix-VAD: Detecção Semântica de Fim de Fala em Streaming