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

Auf der diesjährigen International Computer Music Conference (ICMC, https://icmc2026.ligeti-zentrum.de/) in Hamburg präsentieren Axel Berndt und Aida Amiryan-Stein (beide Musikwissenschaftliches Seminar) zusammen mit Manuel Peters, Meinard Müller und Stefan Balke (AudioLabs Erlangen) ihr gemeinsames Paper “ChoraleWind: An Expressive Wind-Quartet Dataset for End-to-End Rendering from the Neues Thüringer Choralbuch”. 

Abstract:
We introduce ChoraleWind, a dataset along with a framework for a reproducible end-to-end rendering from the Neues Thüringer Choralbuch (NTCB). The dataset comprises 311 four-part chorales and covers the full pipeline from symbolic score encoding to performance-level rendition and synthesized audio. ChoraleWind includes a rule-based performance model that generates expressive timing, dynamics, and articulation, including metric and structural accents as well as phrase-end gestures from high-quality MEI encoding of the NTCB chorales, combined with a wind-instrument synthesis based on physical modeling that produces isolated stems and ensemble mixes. The dataset provides aligned symbolic representations, performance annotations, and multitrack audio, enabling systematic training and evaluation of score-to-audio wind-quartet rendering methods under fully controlled conditions. Rather than aiming at state-of-the-art purely data-driven synthesis, ChoraleWind is designed as a transparent and reproducible testbed for studying expressive performance generation, timbre modeling, and evaluation of wind-quartet rendering systems.