My Expedition to Machine-Generated Music Using Tensorflow Magenta, Part 2: Linkin Park Continued
Repository
https://github.com/tensorflow/magenta
Introduction
If you have not read the first post of the series, please read it before reading this post.
I have tried using two NVIDIA Tesla V100 16GB SXM2 GPUs and the MusicVAE model (https://magenta.tensorflow.org/music-vae) to generate music based on MIDI files of songs from the albums of Linkin Park.
The first trained model showed that a computer could generate harmonic (or should I say normal) music, but the sample size was too small to generate original music. (Quiz: what was the most predominant Hybrid Theory/Meteora song on the first samples?)
Because of this, I have gone further and expanded the sample size of Linkin Park songs to 42 songs from all seven Linkin Park albums.
Post Body
The methodology did not differ much from the first post, so please consult the first post for how you can do this yourself.
This time, it also took me around a week on one Tesla V100 16GB SXM2 GPU using --hparams=batch_size=32,learning_rate=0.0005, same as the first run. Ten samples were generated this time.
This time, the music samples were quite original while it did remind me of what Linkin Park would have composed.
The model’s accuracy did not improve as quickly as the first model, but it gradually increased until the 200k steps were completed.
Apart from that, the results were quite impressive.
The results are available Here.
If you want to generate new music using this trained model, Download the Checkpoint from Here and use Tensorflow Magenta to generate using This Command.
You can also interpolate with different MIDI files to add a taste of Linkin Park to other music.
Next time, I will explore using the MusicVAE model of Tensorflow Magenta to generate music from different artists or combinations of artists.
I will also perform a detailed analysis of models trained from now on using Tensorboard.
Resources
MusicVAE model (https://magenta.tensorflow.org/music-vae) in Tensorflow Magenta (https://github.com/tensorflow/magenta)
FreeMidi.org (https://freemidi.org/)
FLAC Synthesizer by MuseScore (https://musescore.com or https://github.com/musescore/MuseScore)
Series Backlinks
This is the second post of a series of blog posts on machine-generated music. The collection of posts will continue to grow as I explore new genres, music artists, or bands.
