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用深度学习生成钢琴音乐

深度学习

钢琴音乐

Tensor

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用深度学习生成钢琴音乐，Generate Piano Instrumental Music by Using Deep Learning,基于GAN，tensorflow 2.0。

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Generate Piano Instrumental Music

by Using DeepLearning

Generate Piano Music “

♪♪♪

” step by step by

experimenting Tensorflow v2.0Alpha

Haryo Akbarianto Wibowo

Mar 26

13 min read

ello everyone! Finally, I can write again on my Medium and

have free time to do some experiments on Artificial Intelligence

(AI). This time, I am going to write and share about how to generate

music notes by using Deep Learning. Unlike my previous article

about generating lyrics, this time we will generate the notes of the

musics and also generate the file (in MIDI format).

Photo by Marius Masalar onUnsplash

The theme of the music is Piano. This article will generate piano

notes by using a variant of Recurrent Neural Network (RNN), Gated

Recurrent Unit (GRU) with the help of Self Attention. Not only this

article will tell how to generate the notes, this article will also tell how

to generate it into a proper MIDI files and can also be played in the

computer.

This article is targeted for the one who is interested in AI, especially

who want to practice on using Deep Learning. I hope that my writing

skill will increase by publishing this article and the content benefits

you



There is a Github link at the end of this article if you want to know

about the complete source code. For now, I will give the python

notebook and the Colaboratory link in the repository,.

Hereistheopeningmusic

Photo by Malte Wingen onUnsplash

This embedded content is from a site that

does not comply with the Do Not Track

(DNT) setting now enabled on your browser.

Please note if you click through and view it

Sound 1: Opening Piano



(Thatmusicisgeneratedbythemodelthatwewillcreatein

thisarticle)

Outline

Introduction

Technology and Data

Pipeline

Preprocessing MIDI files

Train Model

Inference and Generate MIDI Files

Results

Conclusion

Afterwords

Introduction

One of the current hot topic in the Artificial Intelligence is how to

generate something by only using the data (unsupervised). In

Computer Vision domain, there are many researchers out there

researching some advanced techniques on generating images using

Generative Advesarial Network (GAN). For example NVIDIA create

realistic face generator by using GAN. There are also some research

on generating music by using GAN.

If we talk about the valueof the music generator, it can be used to

help the musician on creating their music. It can enhance the

creativity of people. I think in the future, if there are a lot of high

attention on this field, most of musicians will create its music assisted

by AI.

This article will be focused on how to generate music by generating

sequential of notes in a music. We will know how to preprocess the

data and transform them to be input of neural network to generate

the music.

Photo by Akshar Dave onUnsplash

The experiment will also use Tensorflowv2.0(still on alpha phase)

as the Deep Learning Framework. What I want to show is to test and

use Tensorflow v2.0 by following some of their best practice. One of

the feature that I like in Tensorflow v2.0 is that it really accelerates

the training of the model by using their AutoGraph. It can be used by

defining our function using @tf.function . Moreover, there are no

“tf.session” anymore and no global initialization. These efeatures are

one of the reason that I moved from Tensorflow to PyTorch.

Tensorflow usability was not good for me. Nevertheless, In my

opinion Tensorflow v2.0 change it all and increase their usability to

make it comfortable to do some experiment.

This experiment also use selfattentionlayer. The self-attention

layer will tell us, given a sequential instance (for example in the music

note “ C D E F G”), each token will learn how much the influence on

other token to that token. Here’s some example (for an NLP task):

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