An open audio turn-taking model that answers several questions about the moment in one forward pass: has the user finished their turn, how soon will they go on, is this a backchannel or an interruption, is the sound speech at all. It hears the last 8 seconds of user audio (optionally with a transcript or the dialog so far), runs on one GPU in ~8 ms, and is measured on all 14 languages of eot-bench and on two-party conversations in TurnBench. ▶ Interactive demo and film: replay real user turns in six languages and watch Pipecat's default turn model cut the user off while voxturn waits for the end of the turn. Technical report (PDF): method, training data, ablations and the full evaluation.…
Independent publisher
Yang Xiao
AustinXiao
Models in Library1
Datasets in Library0
Models on Hugging Face3
Followers2
Compare the published evidence
This profile connects the 1 model and dataset record shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.
Published tasks: Audio classification.
Reported licenses: cc-by-nc-4.0. Open a record to review its specific license and conditions.
Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.