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TU Berlin

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Dr. Fabian Brinkmann

Lupe

Contact

Room EN 150/151
Phone: +49 30 314 70 336
Mail: fabian.brinkmann AT tu-berlin.de

Consultation hours: appointment via mail

Teaching Activities

Virtual Acoustics:  Project tutorial on system identification, binaural technology, and room simulation (Since 2012)

Virtual Acoustics: Lecture (2021)

Introduction to Digital Signal Processing: Tutorial (2021)

Audio technique II: Tutorial in digital audio technique (2009-2011)

Loudspeaker lab: Measurement and signal processing for loudspeakers (2010-2015)

The Appassionata projects: Performance analysis of music recordings (Since 2010)

Open Data Publications

pyfar - python packages for acoustics research

A frame work of python packages for acoustic signal acquisition, processing, analysis.

FABIAN HRTF data base

A compilation of acoustically measured and numerically simulated head-related transfer functions, headphone transfer functions, and 3D-head-and-torso meshes of the head and torso simulator FABIAN

HUTUBS HRTF data base

A compilation of acoustically measured and numerically simulated head-related transfer functions, headphone transfer functions, and 3D-head-and-torso meshes of 96 subjects.

PIRATE

3D printable in-ear microphones for binaural measurements.

AKtools

An open software toolbox for signal acquisition, processing, and inspection in acoustics

WhisPER

An open source software for conduction listening test

Musical Instruments

A data base with recordings, directivities, and features of classical musical instruments

Comparative evaluation of interpolation methods for the directivity of musical instruments
Citation key Ackermann2021
Author Ackermann, David and Brinkmann, Fabian and Zotter, Franz and Kob, Malte and Weinzierl, Stefan
Pages 36
Year 2021
DOI 10.1186/s13636-021-00223-6
Journal EURASIP J. Audio, Speech, and Music Processing
Volume 2021
Number 1
Abstract Measurements of the directivity of acoustic sound sources must be interpolated in almost all cases, either for spatial upsampling to higher resolution representations of the data, for spatial resampling to another sampling grid, or for use in simulations of sound propagation. The performance of different interpolation techniques applied to sparsely sampled directivity measurements depends on the sampling grid used but also on the radiation pattern of the sources themselves. Therefore, we evaluated three established approaches for interpolation from a low-resolution sampling grid using high-resolution measurements of a representative sample of musical instruments as a reference. The smallest global error on average occurs for thin plate pseudo-spline interpolation. For interpolation based on spherical harmonics (SH) decomposition, the SH order and the spatial sampling scheme applied have a strong and difficult to predict influence on the quality of the interpolation. The piece-wise linear, spherical triangular interpolation provides almost as good results as the first-order spline approach, albeit with on average 20 times higher computational effort. Therefore, for spatial interpolation of sparsely sampled directivity measurements of musical instruments, the thin plate pseudo-spline method applied to absolute-valued data is recommended and, if necessary, a subsequent modeling of the phase.
Link to publication Download Bibtex entry

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