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    Models/Voice Activity Detection/loom-ai-org/silero-vad-loom

    silero-vad-loom

    by loom-ai-org

    Identifier
    Model ID
    loom-ai-org/silero-vad-loom

    Deploy silero-vad-loom

    Single-tenant

    Mixpeek has no managed extractor for this model. On a single-tenant deployment you upload the weights and a custom plugin serves them next to the rest of your pipeline.

    Tags

    loom-py-rtggufloomaudio-classificationvoice-activity-detectionlicense:mitregion:us

    Use silero-vad-loom 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, silero-vad-loom 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.