A survey on neural speech synthesis
Gansynth: Adversarial neural audio synthesis
J Engel, KK Agrawal, S Chen, I Gulrajani… - ar**20a/**20a.pdf" data-clk="hl=ca&sa=T&oi=gga&ct=gga&cd=7&d=15645705670677592172&ei=DKyxZ_C3ArutieoP4ZvliAM" data-clk-atid="bHgNuWm2INkJ" target="_blank">[PDF] mlr.press
Waveflow: A compact flow-based model for raw audio
In this work, we propose WaveFlow, a small-footprint generative flow for raw audio, which is
directly trained with maximum likelihood. It handles the long-range structure of 1-D …
directly trained with maximum likelihood. It handles the long-range structure of 1-D …
Neural source-filter waveform models for statistical parametric speech synthesis
Neural waveform models have demonstrated better performance than conventional
vocoders for statistical parametric speech synthesis. One of the best models, called …
vocoders for statistical parametric speech synthesis. One of the best models, called …
[PDF][PDF] A Deep Learning Algorithm for Personalized Blood Glucose Prediction.
A convolutional neural network (CNN) model is presented to forecast the future glucose
levels of the patients with type 1 diabetes. The model is a modified version of a recently …
levels of the patients with type 1 diabetes. The model is a modified version of a recently …