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: skittree@gmail.com 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