Methods and apparatus for audio equalization based on variant selection

A computer-implemented method comprising:

• determining that a neural network model does not satisfy a training threshold;
• training the neural network model using training data, wherein the training data comprises a plurality of reference audio signals associated with one or more variants of music;
• and
• transmitting the trained neural network model to a media unit.

A computing device comprising:

• one or more processors;
• and
• a tangible, non-transitory computer-readable medium comprising instructions that, when executed, cause one or more processors to perform a set of operations comprising:
• determining that a neural network model does not satisfy a training threshold;
• training the neural network model using training data, wherein the training data comprises a plurality of reference audio signals associated with one or more variants of music;
• and
• transmitting the trained neural network model to a media unit.