ChoraleWind: An Expressive Wind-Quartet Dataset for End-to-End Rendering from the Neues Thüringer Choralbuch

ChoraleWind is a synthetic dataset designed to support research in Music Information Retrieval (MIR) with a focus on wind and brass instruments. It features multitrack recordings of chorales from the "Neues Thüringer Choralbuch" (https://github.com/axelberndt/Neues-Thueringer-Choralbuch-digital), each arranged in four musical parts: soprano, alto, tenor, and bass. The structure of this dataset is based on the ChoraleBricks dataset (https://zenodo.org/records/20849469). Audio demonstrations are available on the accompanying website: https://audiolabs-erlangen.de/resources/MIR/2026-ChoraleWind Included: Isolated tracks for each chorale and individual wind instruments (97 hours and 17 minutes in total) Full ensemble recordings with different instrumentations (all ensemble permutations result in 308 days of audio material) Sheet music for all chorales in various formats Time-aligned symbolic music representations Reference annotations (fundamental frequencies, note events) Python software tools for parsing, mixing, annotation, and modular combination (available via GitHub: https://github.com/stefan-balke/choralebricks) Applications: ChoraleWind is an open-source dataset that facilitates systematic experimentation and evaluation in various research areas, including: Multi-pitch estimation Automatic Music Transcription Audio alignment Music Source Separation Music education and interactive applications The dataset is provided under an open-access license to support the MIR and wind music research communities. If you use ChoraleWind in your research, please cite the following paper: Axel Berndt, Aida Amiryan-Stein, Manuel Peters, Meinard Müller, and Stefan BalkeChoraleWind: An Expressive Wind-Quartet Dataset for End-to-End Rendering from the Neues Thüringer ChoralbuchIn Proceedings of the International Computer Music Conference (ICMC): 43–50, 2026.https://www.audiolabs-erlangen.de/content/05_fau/assistant/00_balke/01_publications/2026_BerndAPMB_ChoraleWind_ICMC.pdf Further information and additional resources are available on the accompanying website: https://www.audiolabs-erlangen.de/resources/MIR/2026-ChoraleWind