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    Models/Voice Activity Detection/audarai/Audar-ASR-Turbo_diarization
    Voice Activity Detectionpytorchapache-2.0

    Audar-ASR-Turbo_diarization

    by audarai

    Identifier
    Model ID
    audarai/Audar-ASR-Turbo_diarization

    Tags

    pytorchnar_diar_eend_headdiarizationeendspeaker-diarizationaudioaudaraispeechvoice-activity-detectionlicense:apache-2.0region:us

    Use Audar-ASR-Turbo_diarization 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, Audar-ASR-Turbo_diarization 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.