End-to-End Magnitude Least Squares Binaural Rendering for Equatorial Microphone Arrays
Paper in proceeding, 2023

We recently presented an end-to-end magnitude least squares (eMagLS) binaural rendering method for spherical microphone array (SMA) signals that integrates a comprehensive array model into a magnitude least squares objective to minimize reproduction errors. The introduced signal model addresses impairments due to practical limitations of spherical harmonic (SH) domain rendering, namely, spatial aliasing, truncation of the SH decomposition order, and regularized radial filtering. In this work, we improve the processing model when applied to the recently proposed equatorial microphone array (EMA) to facilitate three degrees-of-freedom head rotations during the rendering. EMAs provide similar accuracy to SMAs for sound fields from sources inside the horizontal plane while requiring a much lower number of microphones. We compare the proposed end-to-end renderers for both array types against a given binaural reference magnitude response. In addition to anechoic array simulations, the evaluation includes measured array room impulse responses to show the method’s effectiveness in minimizing high-frequency magnitude errors for all head orientations from SMAs and EMAs under practical room conditions. The published reference implementation of the method has been refined and now includes the solution for EMAs.

Author

Hannes Helmholz

Chalmers, Architecture and Civil Engineering, Applied Acoustics

Thomas Deppisch

Chalmers, Architecture and Civil Engineering, Applied Acoustics

Jens Ahrens

Chalmers, Architecture and Civil Engineering, Applied Acoustics

Fortschritte der Akustik - DAGA 2023

1679-1682

DAGA
Hamburg, Germany,

Binaural Rendering of Spherical Microphone Array Data

Oculus Inc., 2018-05-01 -- 2019-04-30.

Areas of Advance

Information and Communication Technology

Subject Categories

Telecommunications

Signal Processing

Related datasets

Audio examples for "End-to-End Magnitude Least Squares Binaural Rendering for Equatorial Microphone Arrays" [dataset]

URI: http://www.ta.chalmers.se/research/audio-technology- group/audio-examples/daga-2023a/

More information

Latest update

11/17/2023