First thing: I am not an expert on Machine Learning, I'm learning it on my own. so I hope I'm asking the right questions.
I am trying to model a GAN, with mlpack
library in C++, to try to generate audio data from a dataset audio files.
mlpack has this class:
GAN ( arma::mat & trainData,
Model generator,
Model discriminator,
InitializationRuleType & initializeRule,
Noise & noiseFunction,
const size_t noiseDim,
const size_t batchSize,
const size_t generatorUpdateStep,
const size_t preTrainSize,
const double multiplier,
const double clippingParameter = 0.01,
const double lambda = 10.0
)
I found a lot of samples for image generation (so starting from matrixes),but nothing for audio generation (vectors). So my questions are:
- What could be good models for
generator
anddiscriminator
? - Is there anything else that needs to be known since we are starting from audio data and not images?
(Any links would be helpful)
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