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    Models/Voice Activity Detection/AXERA-TECH/DiariZen
    Voice Activity Detectionpytorchcc-by-nc-4.0

    DiariZen

    by AXERA-TECH

    Identifier
    Model ID
    AXERA-TECH/DiariZen

    Tags

    pytorchonnxspeaker-diarizationax650axeraaxmodelwavlmconformervoice-activity-detectionenlicense:cc-by-nc-4.0region:us

    Use DiariZen 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, DiariZen 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.