Tobias Kabzinski — accepted AI-conference papers

2022

Towards Faster Continuous Multi-Channel HRTF Measurements Based On Learning System Models

ICASSP 2022accepted

Measuring personal head-related transfer functions (HRTFs) is essential in binaural audio. Personal HRTFs are not only required for binaural rendering and for loudspeaker-based binaural reproduction using crosstalk cancellation, but they also serve as a basis for data-driven HRTF individualization t…

Cited by 0 Source ↗Scholar ↗

2018

A Joint Perspective of Periodically Excited Efficient NLMS Algorithm and Inverse Cyclic Convolution

Stefan Kühl, Sebastian Nagel, Tobias Kabzinski, Christiane Antweiler, Peter Jax

ICASSP 2018accepted

Research in static and time-variant system identification has brought up a broad variety of identification algorithms. In acoustics, e.g., static measurements of transfer functions are commonly conducted using Inverse Cyclic Convolution (ICC) with Exponential Sweep excitation. Identification and tra…

Cited by 0 Source ↗Scholar ↗