Instrument Recognition

Instrument recognition in music aims to automatically identify and separate individual instruments from audio recordings, a crucial task in music information retrieval and source separation. Current research focuses on improving the accuracy and efficiency of these processes, exploring techniques like multi-modal approaches combining audio and text data, single-decoder architectures for scalable source separation, and joint training of transcription and separation models. These advancements are significant for applications ranging from music production and analysis to assistive technologies for musicians and improved understanding of musical structure.