Real-Time Conversion of Sensor Array Signals into Spherical Harmonic Signals with Applications to Spatially Localized Sub-Band Sound-Field Analysis

McCormack L, Delikaris-Manias S, Farina A, Pinardi D, Pulkki V. Real-Time Conversion of Sensor Array Signals into Spherical Harmonic Signals with Applications to Spatially Localized Sub-Band Sound-Field Analysis. In: AES Convention 144. Audio Engineering Society; 2018. Paper 9939. Available from: https://aes.org/publications/elibrary-page/?id=19456

@inproceedings{McCormack2018_19456,
  author = {McCormack, Leo and Delikaris-Manias, Symeon and Farina, Angelo and Pinardi, Daniel and Pulkki, Ville},
  title = {{Real-Time Conversion of Sensor Array Signals into Spherical Harmonic Signals with Applications to Spatially Localized Sub-Band Sound-Field Analysis}},
  booktitle = {AES Convention 144},
  note = {Paper 9939},
  year = {2018},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=19456}
}

TY  - CPAPER
TI  - Real-Time Conversion of Sensor Array Signals into Spherical Harmonic Signals with Applications to Spatially Localized Sub-Band Sound-Field Analysis
AU  - McCormack, Leo
AU  - Delikaris-Manias, Symeon
AU  - Farina, Angelo
AU  - Pinardi, Daniel
AU  - Pulkki, Ville
T2  - AES Convention 144
M1  - Paper 9939
PY  - 2018
DA  - 2018/05/06
UR  - https://aes.org/publications/elibrary-page/?id=19456
PB  - Audio Engineering Society
LA  - en
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.
ER  -