Phoenix-VAD: semantic end-of-speech detection in streaming

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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