Gururani, Siddharth, Alexander Lerch. Mixing Secrets: A multitrack dataset for instrument detection in polyphonic music. In Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), Late Breaking Demo (Extended Abstract). International Society for Music Information Retrieval (ISMIR), Suzhou, 2017.
Instrument recognition as a task in MIR is largely data drive. This drives a need for large datasets that cater to the need of these algorithms. Several datasets exist for the task of instrument recognition in monophonic signals. For polyphonic music, creating a finely labeled dataset for instrument recognition is a hard task and using multi-track data eases that process. We present 250+ multi-tracks that have been labeled for instrument recognition and release the annotations to be used in the community. The process of data acquisition, cleaning and labeling has been detailed in this late-breaking demo.