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    Models/Audio To Audio/mpariente/ConvTasNet_WHAM_sepclean
    Audio To Audioasteroidcc-by-sa-4.0

    ConvTasNet_WHAM_sepclean

    by mpariente

    Identifier
    Model ID
    mpariente/ConvTasNet_WHAM_sepclean

    Tags

    asteroidpytorchaudioConvTasNetaudio-to-audiodataset:whamdataset:sep_cleanlicense:cc-by-sa-4.0region:us

    Use ConvTasNet_WHAM_sepclean 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, ConvTasNet_WHAM_sepclean runs as a managed extractor inside a processing pipeline. Point a bucket of audio to audio 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.