Using this open source model in production? Consider switching to pyannoteAI for better and faster options. 🎹 Speaker segmentation Paper Demo Blog post Usage Relies on pyannote.audio 2.1.1: see installation instructions. Voice activity detection Overlapped speech detection Resegmentation Raw scores Citation Reproducible research In order to reproduce the results of the paper "End to end speaker segmentation for overlap aware resegmentation ", use pyannote/segmentation@Interspeech2021 with the following hyper parameters: Voice activity detection onset offset min duration on min duration off AMI Mix Headset 0.684 0.577 0.181 0.037 DIHARD3 0.767 0.377 0.136 0.067 VoxConverse 0.767 0.713 0.182 0.501 Overlapped speech detection onset offset min duration on min duration off AMI Mix Headset 0.448 0.362 0.116 0.187 DIHARD3 0.430 0.320 0.091 0.144 VoxConverse 0.587 0.426 0.337 0.112 Resegmentation of VBx onset offset min duration on min duration off AMI Mix Headset 0.542 0.527 0.044 0.705 DIHARD3 0.592 0.489 0.163 0.182 VoxConverse 0.537 0.724 0.410 0.563 Expected outputs (and VBx baseline) are also provided in the /reproducible research sub directories.
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