Дмитрий Пахомов - Development of Drum Transcription Software Based on Convolutional Neural Networks
GitHub: https://github.com/skittree/DrummerScore
Abstract: In my bachelor's thesis, I present a method to generate drum notation from raw audio data using a Convolutional Neural Network (CNN) model. The main premise of the work is to set the foundations of a drum scoring software built on a personally curated dataset. The significance of my project is that it is among the first to attempt to take a trained Automatic Drum Transcription (ADT) neural network into an easily accessible software for drum players of any skill level. According to a survey conducted within an international drumming school network, this project provides the most merit to hobbyist-professional drum players, and especially drum instructors that spend large amounts of time creating high-quality drum transcriptions. In addition, I also propose a UX/UI mockup that could be used to create a fully functional automatic drum score app.
If you are interested in my project or want to read the full thesis, do not hesitate to contact me!
Email: [email protected]
Telegram: t.me/skittree
Data Fest 2023:
https://ods.ai/events/datafestonline2023
Трек "Computer Vision":
https://ods.ai/tracks/df23-cv
Наши соц.сети:
Telegram: https://t.me/datafest
Вконтакте: https://vk.com/datafest