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BWSNet: Automatic Perceptual Assessment of Audio Signals
This paper introduces BWSNet, a model that can be trained from raw human judgements obtained through a Best-Worst scaling (BWS) experiment.
Towards end-to-end F0 voice conversion based on Dual-GAN with convolutional wavelet kernels
A single neural network is proposed, in which a first module is used to learn F0 representation over different temporal scales and a second adversarial module is used to learn the transformation from one emotion to another.
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