The purpose of this project is to familiarize with Autoencoders Denoising and data augmentation techniques. Augmentation Data, working with audio files, string-to-string models (Seq2seq) and intelligent systems.
This project includes 4 part:
Denoising: During the performance, the musician should fully attentive to the sound of the music and shouldn't allow noise and the sound of crowd cheering destroys his concentration.
Note recognition: During the performance, the musician must remember in his mind the series of notes that he performed to know what notes he has hit in the performance of a piece up to every moment.
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.
Noise maker: Since the crowd in the hall is not covered in pleasure, during the performance classical music with hand and whistle system will encourage your music production.