1Kdl/month
2likes
Identifier
Model ID
julien-c/DPRNNTasNet-ks16_WHAM_sepcleanTags
asteroidpytorchaudio-to-audioaudioaudio-source-separationdataset:whamdataset:sep_cleanarxiv:2005.04132license:cc-by-sa-4.0region:us
Use DPRNNTasNet-ks16_WHAM_sepclean on Mixpeek
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Open StudioHow It Runs on Mixpeek
On Mixpeek, DPRNNTasNet-ks16_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.
Specification
Organizationjulien-c
TaskAudio To Audio
Libraryasteroid
Licensecc-by-sa-4.0
Downloads/mo1K
Likes2
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