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    Models/Audio To Audio/cadenzachallenge/ConvTasNet_Lyrics_Causal
    Audio To Audiotransformersapache-2.0

    ConvTasNet_Lyrics_Causal

    by cadenzachallenge

    Identifier
    Model ID
    cadenzachallenge/ConvTasNet_Lyrics_Causal

    Tags

    transformerspytorchsafetensorshearing losschallengesignal processingsource separationlyrics intelligibilityaudioaudio-to-audioenlicense:apache-2.0endpoints_compatibleregion:us

    Use ConvTasNet_Lyrics_Causal 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_Lyrics_Causal 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.