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TU Berlin

Inhalt des Dokuments

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
Zitatschlüssel Arend2021a
Autor Arend, Johannes M. and Brinkmann, Fabian and Pörschmann, Christoph
Seiten 104–117
Jahr 2021
DOI 10.17743/jaes.2020.0070
Journal J. Audio Eng. Soc.
Jahrgang 69
Nummer 1/2
Zusammenfassung 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...
Link zur Publikation Download Bibtex Eintrag

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