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Open Data Publications
A Multi-channel Anechoic Orchestra Recording of Beethoven's Symphony No. 8 op. 93 
This data set contains an excerpt of the anechoic recording of the Symphony No. 8 in F Major, Op. 93 by Ludwig van Beethoven, performed by the "Orchester Wiener Akademie" conducted by Martin Haselböck. It was recorded in the anechoic chamber of the TU Berlin.
GRAP - A Ground Truth on Room Acoustical Analysis and Perception 
A database of 35 virtual room models was created that can serve as a ground truth for the future development of room acoustical parameters beyond ISO 3382-1.
BRAS - Benchmark for Room Acoustical Simulation 
The Benchmark for Room Acoustical Simulation (BRAS) contains eleven acoustical scenes that are intended for the evaluation of room acoustical simulation software.
A Database on Musicians’ Movements During Musical Performances 
The movements of 20 musicians playing 11 different musical instruments, including all standard orchestral instruments, were captured during solo performances by means of a motion capturing system under concert-like conditions.
|Autor||Ackermann, David and Böhm, Christoph and Brinkmann, Fabian and Weinzierl, Stefan|
|Journal||Acta Acustica united with Acustica|
|Zusammenfassung||Acoustic musical instruments act as dynamic sound sources communicating the expressive intentions of a performer to the audience in a dedicated spatial environment. From an acoustical point of view, the directivity of musical instruments is relevant both for the loudness and timbre of an instrument at a certain position in the audience, as well as for the spatial characteristics of the generated sound ﬁeld. Musical instruments, however, are dynamic sound sources always moved by musicians as an element of their performance on stage. This work aims at assessing the acoustical eﬀect and the perceptual relevance of these movements. For this purpose, we have recorded solo musical performances with all standard orchestral instruments with an optical motion tracking system, as well as the corresponding audio signals. The eﬀect of the movements was evaluated by analysing the spectral ﬂuctuation and the time-dependence of room acoustical parameters in a virtual acoustic environment in anechoic and reverberant conditions. In a subsequent listening test, an auralization of the static and dynamic musical performance was presented to listeners by binaural synthesis, showing that the signal-related ﬂuctuations are clearly audible both in anechoic and reverberant situations. We discuss diﬀerent approaches how to consider these eﬀects for the simulation of natural acoustic sources in virtual acoustic reality.|