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    Models/Audio To Audio/speechbrain/sepformer-whamr16k
    Audio To Audiospeechbrainapache-2.0

    sepformer-whamr16k

    by speechbrain

    Identifier
    Model ID
    speechbrain/sepformer-whamr16k

    Tags

    speechbrainaudio-to-audioaudio-source-separationSource SeparationSpeech SeparationWHAM!SepFormerTransformerpytorchenarxiv:2010.13154arxiv:2106.04624license:apache-2.0region:us

    Use sepformer-whamr16k 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, sepformer-whamr16k 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.