Musical Instrument

Musical instrument research spans diverse areas, from understanding their physical properties and acoustic behavior to developing AI-driven tools for music creation and analysis. Current research focuses on applying machine learning, particularly deep learning models like transformers and convolutional neural networks, to tasks such as instrument separation, sound source localization, and music generation, often leveraging large datasets and novel training techniques like subtractive training. These advancements have implications for music technology, improving music production workflows, enabling new forms of musical expression, and offering insights into the physics and perception of music.