Time Domain Spherical Harmonic Processing with Open Spherical Microphones Recording
Spherical harmonic analysis has been a widely used approach for spatial audio processing in recent years. Among all applications that benefit from spatial processing, spatial Active Noise Control (ANC) remains unique with its requirement for open spherical microphone arrays to record the residual so...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/3/1074 |
| _version_ | 1797407771714387968 |
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| author | Huiyuan Sun Thushara D. Abhayapala Prasanga N. Samarasinghe |
| author_facet | Huiyuan Sun Thushara D. Abhayapala Prasanga N. Samarasinghe |
| author_sort | Huiyuan Sun |
| collection | DOAJ |
| description | Spherical harmonic analysis has been a widely used approach for spatial audio processing in recent years. Among all applications that benefit from spatial processing, spatial Active Noise Control (ANC) remains unique with its requirement for open spherical microphone arrays to record the residual sound field throughout the continuous region. Ideally, a low delay spherical harmonic recording algorithm for open spherical microphone arrays is desired for real-time spatial ANC systems. Currently, frequency domain algorithms for spherical harmonic decomposition of microphone array recordings are applied in a spatial ANC system. However, a Short Time Fourier Transform is required, which introduces undesirable system delay for ANC systems. In this paper, we develop a time domain spherical harmonic decomposition algorithm for the application of spatial audio recording mainly with benefit to ANC with an open spherical microphone array. Microphone signals are processed by a series of pre-designed finite impulse response (FIR) filters to obtain a set of time domain spherical harmonic coefficients. The time domain coefficients contain the continuous spatial information of the residual sound field. We corroborate the time domain algorithm with a numerical simulation of a fourth order system, and show the proposed method to have lower delay than existing approaches. |
| first_indexed | 2024-03-09T03:46:29Z |
| format | Article |
| id | doaj.art-730049a0ae8748829464299a93219cd6 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T03:46:29Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-730049a0ae8748829464299a93219cd62023-12-03T14:33:48ZengMDPI AGApplied Sciences2076-34172021-01-01113107410.3390/app11031074Time Domain Spherical Harmonic Processing with Open Spherical Microphones RecordingHuiyuan Sun0Thushara D. Abhayapala1Prasanga N. Samarasinghe2Audio & Acoustic Signal Processing Group, College of Engineering and Computer Science, Australian National University, Canberra 2601, AustraliaAudio & Acoustic Signal Processing Group, College of Engineering and Computer Science, Australian National University, Canberra 2601, AustraliaAudio & Acoustic Signal Processing Group, College of Engineering and Computer Science, Australian National University, Canberra 2601, AustraliaSpherical harmonic analysis has been a widely used approach for spatial audio processing in recent years. Among all applications that benefit from spatial processing, spatial Active Noise Control (ANC) remains unique with its requirement for open spherical microphone arrays to record the residual sound field throughout the continuous region. Ideally, a low delay spherical harmonic recording algorithm for open spherical microphone arrays is desired for real-time spatial ANC systems. Currently, frequency domain algorithms for spherical harmonic decomposition of microphone array recordings are applied in a spatial ANC system. However, a Short Time Fourier Transform is required, which introduces undesirable system delay for ANC systems. In this paper, we develop a time domain spherical harmonic decomposition algorithm for the application of spatial audio recording mainly with benefit to ANC with an open spherical microphone array. Microphone signals are processed by a series of pre-designed finite impulse response (FIR) filters to obtain a set of time domain spherical harmonic coefficients. The time domain coefficients contain the continuous spatial information of the residual sound field. We corroborate the time domain algorithm with a numerical simulation of a fourth order system, and show the proposed method to have lower delay than existing approaches.https://www.mdpi.com/2076-3417/11/3/1074spatial audio recordingspherical harmonictime domain signal processing |
| spellingShingle | Huiyuan Sun Thushara D. Abhayapala Prasanga N. Samarasinghe Time Domain Spherical Harmonic Processing with Open Spherical Microphones Recording Applied Sciences spatial audio recording spherical harmonic time domain signal processing |
| title | Time Domain Spherical Harmonic Processing with Open Spherical Microphones Recording |
| title_full | Time Domain Spherical Harmonic Processing with Open Spherical Microphones Recording |
| title_fullStr | Time Domain Spherical Harmonic Processing with Open Spherical Microphones Recording |
| title_full_unstemmed | Time Domain Spherical Harmonic Processing with Open Spherical Microphones Recording |
| title_short | Time Domain Spherical Harmonic Processing with Open Spherical Microphones Recording |
| title_sort | time domain spherical harmonic processing with open spherical microphones recording |
| topic | spatial audio recording spherical harmonic time domain signal processing |
| url | https://www.mdpi.com/2076-3417/11/3/1074 |
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