Real-Time Conversion of Sensor Array Signals into Spherical Harmonic Signals with Applications to Spatially Localized Sub-Band Sound-Field Analysis
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L. McCormack, S. Delikaris-Manias, A. Farina, D. Pinardi, and V. Pulkki, "Real-Time Conversion of Sensor Array Signals into Spherical Harmonic Signals with Applications to Spatially Localized Sub-Band Sound-Field Analysis," Paper 9939, (2018 May.). doi:
L. McCormack, S. Delikaris-Manias, A. Farina, D. Pinardi, and V. Pulkki, "Real-Time Conversion of Sensor Array Signals into Spherical Harmonic Signals with Applications to Spatially Localized Sub-Band Sound-Field Analysis," Paper 9939, (2018 May.). doi:
Abstract: This paper presents two real-time audio plug-ins for processing sensor array signals for sound-field visualization. The first plug-in utilizes spherical or cylindrical sensor array specifications to provide analytical spatial filters which encode the array signals into spherical harmonic signals. The second plug-in utilizes these intermediate signals to estimate the direction-of-arrival of sound sources, based on a spatially localized pressure-intensity (SLPI) approach. The challenge with the traditional pressure-intensity (PI) sound-field analysis is that it performs poorly when presented with multiple sound sources with similar spectral content. Test results indicate that the proposed SLPI approach is capable of identifying sound source directions with reduced error in various environments, when compared to the PI method.
@article{mccormack2018real-time,
author={mccormack, leo and delikaris-manias, symeon and farina, angelo and pinardi, daniel and pulkki, ville},
journal={journal of the audio engineering society},
title={real-time conversion of sensor array signals into spherical harmonic signals with applications to spatially localized sub-band sound-field analysis},
year={2018},
volume={},
number={},
pages={},
doi={},
month={may},}
@article{mccormack2018real-time,
author={mccormack, leo and delikaris-manias, symeon and farina, angelo and pinardi, daniel and pulkki, ville},
journal={journal of the audio engineering society},
title={real-time conversion of sensor array signals into spherical harmonic signals with applications to spatially localized sub-band sound-field analysis},
year={2018},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={this paper presents two real-time audio plug-ins for processing sensor array signals for sound-field visualization. the first plug-in utilizes spherical or cylindrical sensor array specifications to provide analytical spatial filters which encode the array signals into spherical harmonic signals. the second plug-in utilizes these intermediate signals to estimate the direction-of-arrival of sound sources, based on a spatially localized pressure-intensity (slpi) approach. the challenge with the traditional pressure-intensity (pi) sound-field analysis is that it performs poorly when presented with multiple sound sources with similar spectral content. test results indicate that the proposed slpi approach is capable of identifying sound source directions with reduced error in various environments, when compared to the pi method.},}
TY - paper
TI - Real-Time Conversion of Sensor Array Signals into Spherical Harmonic Signals with Applications to Spatially Localized Sub-Band Sound-Field Analysis
SP -
EP -
AU - McCormack, Leo
AU - Delikaris-Manias, Symeon
AU - Farina, Angelo
AU - Pinardi, Daniel
AU - Pulkki, Ville
PY - 2018
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2018
TY - paper
TI - Real-Time Conversion of Sensor Array Signals into Spherical Harmonic Signals with Applications to Spatially Localized Sub-Band Sound-Field Analysis
SP -
EP -
AU - McCormack, Leo
AU - Delikaris-Manias, Symeon
AU - Farina, Angelo
AU - Pinardi, Daniel
AU - Pulkki, Ville
PY - 2018
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2018
AB - This paper presents two real-time audio plug-ins for processing sensor array signals for sound-field visualization. The first plug-in utilizes spherical or cylindrical sensor array specifications to provide analytical spatial filters which encode the array signals into spherical harmonic signals. The second plug-in utilizes these intermediate signals to estimate the direction-of-arrival of sound sources, based on a spatially localized pressure-intensity (SLPI) approach. The challenge with the traditional pressure-intensity (PI) sound-field analysis is that it performs poorly when presented with multiple sound sources with similar spectral content. Test results indicate that the proposed SLPI approach is capable of identifying sound source directions with reduced error in various environments, when compared to the PI method.
This paper presents two real-time audio plug-ins for processing sensor array signals for sound-field visualization. The first plug-in utilizes spherical or cylindrical sensor array specifications to provide analytical spatial filters which encode the array signals into spherical harmonic signals. The second plug-in utilizes these intermediate signals to estimate the direction-of-arrival of sound sources, based on a spatially localized pressure-intensity (SLPI) approach. The challenge with the traditional pressure-intensity (PI) sound-field analysis is that it performs poorly when presented with multiple sound sources with similar spectral content. Test results indicate that the proposed SLPI approach is capable of identifying sound source directions with reduced error in various environments, when compared to the PI method.
Authors:
McCormack, Leo; Delikaris-Manias, Symeon; Farina, Angelo; Pinardi, Daniel; Pulkki, Ville
Affiliations:
Aalto University, Espoo, Finland; Aalto University, Helsinki, Finland; Università di Parma, Parma, Italy(See document for exact affiliation information.)
AES Convention:
144 (May 2018)
Paper Number:
9939
Publication Date:
May 14, 2018Import into BibTeX
Subject:
Spatial Audio-Part 1
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=19456