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    Models/Audio Classification/lab260/Spectra-AASIST
    Audio Classificationpytorchapache-2.0

    Spectra-AASIST

    by lab260

    Identifier
    Model ID
    lab260/Spectra-AASIST

    Tags

    pytorchonnxsafetensorsaudiospoofing-detectionanti-spoofingwav2vec2aasistaudio-classificationlicense:apache-2.0model-indexregion:us

    Use Spectra-AASIST on Mixpeek

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

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    How It Runs on Mixpeek

    On Mixpeek, Spectra-AASIST runs as a managed extractor inside a processing pipeline. Point a bucket of audio classification 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.