Generating Sound with Neural Networks: Difference between revisions

From EMC23 - Satellite Of Love
Jump to navigation Jump to search
mNo edit summary
Line 7: Line 7:




= Sound Generation with Deep Learning || Approaches and Challenges =
= Sound Generation with Deep Learning - Approaches and Challenges =
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="pwV8K9wXY2E" />
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="pwV8K9wXY2E" />


= Autoencoders Explained Easily=
= Autoencoders Explained Easily=

Revision as of 23:43, 29 August 2021

Generating Sound with Neural Networks

Learn how to generate sound from audio files 🎧 🎧 using Variational Autoencoders.

Sound Generation with Neural Networks - INTRO[edit]


Sound Generation with Deep Learning - Approaches and Challenges[edit]

Autoencoders Explained Easily[edit]


How to Implement Autoencoders in Python and Keras - The Encoder[edit]


How to Implement Autoencoders in Python and Keras - The Decoder[edit]


Building and Training an Autoencoder in Keras + TensorFlow + Python[edit]


Saving the Autoencoder in Keras[edit]


Generation with AutoEncoders: Results and Limitations[edit]


From Autoencoders to Variational Autoencoders: Improving the Encoder[edit]


From Autoencoders to Variational Autoencoders: Improving the Loss Function[edit]


How to implement a Variational AutoEncoder in Python and Keras[edit]


Preprocessing Audio Datasets for Machine Learning[edit]


Training a VAE with Speech Data in Keras[edit]


Generating Sound Digits with a Variational AutoEncoder[edit]