• Corpus ID: 13663808

Spherical Microphone Array Processing in Python with the sound_field_analysis-py Toolbox

@inproceedings{Hohnerlein2017SphericalMA,
  title={Spherical Microphone Array Processing in Python with the sound\_field\_analysis-py Toolbox},
  author={Christoph Hohnerlein and Jens Ahrens},
  year={2017}
}
The sound field analysis-py toolbox started as a Python port of SOFiA toolbox by Benjamin Bernschütz et al. [1], which performs the analysis and processing of data captured with spherical microphone arrays. SOFiA is written for Matlab with several externals in C/C++ and published under the GNU GPLv3 license. The current implementation deals with impulse responses and headphone playback – frame-based processing, which would allow real-time manipulation, is subject to ongoing work. Furthermore… 

Figures from this paper

Perceptual Evaluation of Mitigation Approaches of Impairments due to Spatial Undersampling in Binaural Rendering of Spherical Microphone Array Data
TLDR
A listening experiment evaluating the perceptual improvements of binaural rendering of undersampled SMA data that can be achieved using state-of-the-art mitigation approaches found that most mitigation approaches lead to significant perceptual improvements, even though audible differences to the reference remain.
Real-Time Implementation of Binaural Rendering of High-Order Spherical Microphone Array Signals
TLDR
The implementation was performed in Python and it is confirmed that Python together with the other tools employed constitutes a viable framework for this kind of heavy-computation application even under real-time constraints.
Updates on the Real-Time Spherical Array Renderer (ReTiSAR)
TLDR
The latest additions to the Python software package comprise, among others, an interface to the Spatially Oriented Format for Acoustics (SOFA), the ability of switching the spherical harmonics rendering order during runtime as well as performance optimizations enabling real-time rendering up to 12th-order.
Authentic Auralization of Acoustic Spaces Based on Spherical Microphone Array Recordings
TLDR
An overview of the technology is provided and the latest research advancements and remaining challenges are demonstrated that allow for creating signals at the ears of the listener that are perceptually almost indistinguishable from the ear signals that arise in the original space.
Perceptual evaluation of headphone auralization of rooms captured with spherical microphone arrays with respect to spaciousness and timbre.
TLDR
The evaluation of lowpass-filtered stimuli shows that the perceived differences occur exclusively at higher frequencies and can therefore be attributed to spatial aliasing.
Perzeptive Evaluierung von lautsprecher- und kopfhörerbasierter Auralisierung von Aufnahmen kugelförmiger Mikrofon-Arrays
Kugelförmige Mikrofon-Arrays ermöglichen die Zerlegung des einfallenden Schalldruckfeldes in Kugelflächenfunktionen. Diese stellen orthonormale Basisfunktionen der räumlichen Struktur des

References

SHOWING 1-10 OF 12 REFERENCES
SOFiA Sound Field Analysis Toolbox
Spherical microphone arrays and sound field decomposition using spherical harmonics have recently come into the focus of interest for the analysis of sound fields, room acoustics or spatial audio
Sound Field Synthesis Toolbox
TLDR
The toolbox is able to numerically simulate sound fields synthesized by SFS methods like Wave Field Synthesis (WFS) or higher order Ambisonics (HOA).
Headphone Auralization of Acoustic Spaces Recorded with Spherical Microphone Arrays
Binaural auralizations using headphones have become increasingly pop-ular in virtual reality applications to create a realistic three dimensional sound scape. Conventional methods use dummy heads to
Spatial perception of sound fields recorded by spherical microphone arrays with varying spatial resolution.
TLDR
An experimental study of spatial sound perception with the use of a spherical microphone array for sound recording and headphone-based binaural sound synthesis shows that a source will be perceived more spatially sharp and more externalized when represented by a bINAural stimuli reconstructed with a higher spherical harmonics order.
The SoundScape Renderer: A Unified Spatial Audio Reproduction Framework for Arbitrary Rendering Methods
TLDR
The SoundScape Renderer is a versatile software framework for real-time spatial audio rendering that allows the use of arbitrary rendering methods including Wave Field Synthesis, Vector Base Amplitude Panning and Binaural Rendering.
Microphone Arrays and Sound Field Decomposition for Dynamic Binaural Recording
BMBF, 1707X08, Analysis and Synthesis of the Directional Acoustic Properties of Rooms (ASAR)
Spatially Oriented Format for Acoustics: A Data Exchange Format Representing Head-Related Transfer Functions
TLDR
Spatially Oriented Format for Acoustics: A Data Exchange Format Representing Head-Related Transfer Functions is presented, representing head-related transfer functions in a data exchange format.
Fundamentals of Spherical Array Processing
  • B. Rafaely
  • Computer Science
    Springer Topics in Signal Processing
  • 2019
Wave field synthesis of a sound field described by spherical harmonics expansion coefficients.
TLDR
It is proposed to employ the well-known concept of decomposing the sound field under consideration into a continuum of plane waves, for which the secondary source selection is straightforward.
...
...