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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

Assessing Spherical Harmonics Interpolation of Time-Aligned Head-Related Transfer Functions
Citation key Arend2021a
Author Arend, Johannes M. and Brinkmann, Fabian and Pörschmann, Christoph
Pages 104–117
Year 2021
DOI 10.17743/jaes.2020.0070
Journal J. Audio Eng. Soc.
Volume 69
Number 1/2
Abstract High-quality spatial audio reproduction over headphones requires head-related transfer functions (HRTFs) with high spatial resolution. However, acquiring datasets with a large number of (individual) HRTFs is not always possible, and using large datasets can be problematic for real-time applications with limited resources. Consequently, interpolation methods for sparsely sampled HRTFs are of great interest, with spherical harmonics (SH) interpolation becoming increasingly popular. However, the...
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