Awesome Deep Learning Music
A curated list of scientific articles, theses, and reports on deep learning applied to music information retrieval and generation.
What is Awesome Deep Learning Music?
Awesome Deep Learning Music is a curated collection of scientific articles, theses, and reports that apply deep learning techniques to music-related tasks. It provides a structured overview of research in music information retrieval, generation, classification, and analysis using neural networks. The repository serves as a reference hub for academics and developers exploring AI in music.
Researchers, graduate students, and developers working in music information retrieval, audio machine learning, or computational musicology who need a curated starting point for literature review or project inspiration.
It aggregates and annotates a wide temporal range of deep learning music papers in one place, saving researchers time from manual literature searches. The inclusion of code links and reproducibility notes adds practical value beyond a simple bibliography.
Overview
List of articles related to deep learning applied to music
Use Cases
Best For
- Finding foundational and state-of-the-art papers on deep learning for music
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