Machine-Learned Audio Editing Model

A computing system configured to train a machine-learned audio editing model, the computing system comprising:

• one or more processors;
• and
• one or more non-transitory computer-readable media that collectively store instructions for performing operations, the operations comprising:
• obtaining, by a computing system comprising one or more computing devices, input data descriptive of an input audio signal, a vector-based audio editing representation that numerically describes one or more edits to the input audio signal, and target data descriptive of a target audio signal, wherein the target audio signal demonstrates the one or more edits to the input audio signal;
• processing, by the computing system, the input data and the vector-based audio editing representation with a machine-learned audio editing model to generate, as an output of the machine-learned audio editing model, output data descriptive of an output audio signal;
• evaluating, by the computing system, one or more loss functions that compare the output data to the target data;
• and
• modifying, by the computing system, one or more values of one or more parameters of the machine-learned audio editing model based on the one or more loss functions.

One or more non-transitory computer-readable media that collectively store:

• a machine-learned audio editing model configured to:
• process input data descriptive of an input audio signal and a vector-based audio editing representation that numerically describes one or more edits to the input audio signal;
• and
• as a result of said processing, generate, as an output of the machine-learned audio editing model, output data descriptive of an output audio signal,
• wherein the output audio signal corresponds to the one or more edits to the input audio signal.