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MODELING OF THE LATENT EMBEDDING OF MUSIC USING DEEP NEURAL NETWORK

  • US 20180276540A1
  • Filed: 03/22/2017
  • Published: 09/27/2018
  • Est. Priority Date: 03/22/2017
  • Status: Abandoned Application
First Claim
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1. A method of estimating song features, the method comprising:

  • an audio receiver receiving a first training audio file;

    generating, with one or more processors, a first waveform associated with the first training audio file;

    generating, with the one or more processors, one or more frequency transformations from the first waveform;

    generating, with the one or more processors, a hyper-image from the one or more frequency transformations;

    processing, with a convolutional neural network, the hyper-image;

    estimating, with the one or more processors, an error in an output of the convolutional neural network;

    optimizing, with the one or more processors, one or more weights associated with the convolutional neural network based on the estimated error; and

    using the convolutional neural network to estimate a feature of a testing audio file.

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