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    Models/Audio To Audio/mpariente/DPRNNTasNet-ks2_WHAM_sepclean
    Audio To Audioasteroidcc-by-sa-4.0

    DPRNNTasNet-ks2_WHAM_sepclean

    by mpariente

    Identifier
    Model ID
    mpariente/DPRNNTasNet-ks2_WHAM_sepclean

    Tags

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

    Use DPRNNTasNet-ks2_WHAM_sepclean 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, DPRNNTasNet-ks2_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.