https://arxiv.org/pdf/2210.14321.pdf
(ACGAN) Another variation of GAN generative networks.
Like DCGAN but is able to classify results instead of just discriminate.
https://arxiv.org/pdf/1610.09585.pdf
ACGAN used to generate hand-written digits from the MNIST dataset
https://storage.googleapis.com/tfjs-examples/mnist-acgan/dist/index.html
Generating Sound with Neural Networks (Griffin-Lim such as the paper)
https://youtube.com/playlist?list=PL-wATfeyAMNpEyENTc-tVH5tfLGKtSWPp
Lex Fridman's Lecture, demonstrating RNN for audio generation
https://youtu.be/nFTQ7kHQWtc?t=3694
Explanation on the basics of RNNs and their limits
https://youtu.be/AsNTP8Kwu80
Explanation of LSTM in RNN (improved upon RNN)
https://youtu.be/YCzL96nL7j0
Melody generation with RNN-LSTM (audio generation with RNN-LSTM)
https://youtube.com/playlist?list=PL-wATfeyAMNr0KMutwtbeDCmpwvtul-Xz
RNN used to generate piano sound composition in real-time with toggles and settings
https://magenta.tensorflow.org/demos/performance_rnn/index.html#1|0,0,0,2,0,5,0,0,0,2,0,0|1,1,1,1,1,1,1,1,1,1,1,1|1,1,1,1,1,1,1,1,1,1,1,1|false
Spectral Coherence
https://cyclostationary.blog/2016/01/08/the-spectral-coherence-function/
Spectral Correlation
https://cyclostationary.blog/2015/09/28/the-spectral-correlation-function/
Spectrogram generation example using JS
https://lightningchart.com/js-charts/interactive-examples/edit/lcjs-example-0802-spectrogram.html