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    Models/Voice Activity Detection/kamilakesbi/segmentation_model_pyannote

    segmentation_model_pyannote

    by kamilakesbi

    Identifier
    Model ID
    kamilakesbi/segmentation_model_pyannote

    Tags

    pyannotepytorchpyannote.audiopyannote-audio-modelaudiovoicespeechspeakerspeaker-diarizationspeaker-change-detectionspeaker-segmentationvoice-activity-detectionoverlapped-speech-detectionresegmentationregion:us

    Use segmentation_model_pyannote on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

    Open Studio

    How It Runs on Mixpeek

    On Mixpeek, segmentation_model_pyannote runs as a managed extractor inside a processing pipeline. Point a bucket of voice activity detection data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.

    Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.