A transformer-based network model for pitch detection

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  • TuneNN

    A transformer-based network model for pitch detection

  • crepe

    CREPE: A Convolutional REpresentation for Pitch Estimation -- pre-trained model (ICASSP 2018) (by marl)

  • How does the accuracy of this compare to CREPE?

    https://github.com/marl/crepe

    https://github.com/maxrmorrison/torchcrepe

    Does anyone know what the current state of the art is, within the Music Information Retrieval community?

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • torchcrepe

    Pytorch implementation of the CREPE pitch tracker

  • How does the accuracy of this compare to CREPE?

    https://github.com/marl/crepe

    https://github.com/maxrmorrison/torchcrepe

    Does anyone know what the current state of the art is, within the Music Information Retrieval community?

  • pesto

    Self-supervised learning for fast pitch estimation

  • What's the license?

    What are your thoughts on PESTO which learns pitch-prediction very well with a small network, and uses a self-supervised objective?

    https://arxiv.org/abs/2309.02265

    https://github.com/SonyCSLParis/pesto

  • AudioSep

    Official implementation of "Separate Anything You Describe"

  • You could use this:

    https://github.com/Audio-AGI/AudioSep

    “Separate Anything You Describe: a foundation model for sound separation with natural language queries.”

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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