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An investigation of the reconstruction capacity of stacked convolutional autoencoders for log-mel-spectrograms
In an unsupervised manner, the network is able to reconstruct a monophonic and harmonic sound based on latent representations.
Audio representations for deep learning in sound synthesis: A review
Additionally, it presents the most significant methods for developing and evaluating a sound synthesis architecture using deep learning models, always depending on the audio representation.
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