An-Odd-Music-Generator

Music generater with Denoising Auto encoder

Description

Project name: An Odd Music Generator

the project has 4 main parts which should be done in a loop to generate the output song:

1. Denoising: During the performance, the musician must pay full attention to the sound of the music and must not allow noise and the sound of crowd cheering (!) destroys his concentration.

2. Note Recognition: During the performance, the musician must remember in his mind the series of notes he performed To know what notes he has hit in the performance of a piece up to every moment.

3. Note Prediction: During the performance, the musician must keep in mind the series of notes that are being performed up to the moment predict the next note to sound it.

4. Noise maker: Naturally, since the crowd in the hall is not covered in pleasure, during the performance classical music with hands and whistles encourage your music production.

Dataset

the dataset contains three parts:

1. notes
2. noises
3. songs (sequence of note names)

Neural Network models implemented by Keras in Tensorflow library.

Team members

• Amir Kasaei
• Amir Ezzati

This project was a pair work that we wrote as final project of Deep Learning course at University of Guilan in May 2022.