Fast Cross-Correlation for TDoA Estimation on Small Aperture Microphone Arrays
| Autor: | François Grondin, Marc-Antoine Maheux, Jean-Samuel Lauzon, Jonathan Vincent, François Michaud |
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| Rok vydání: | 2022 |
| Předmět: |
Signal Processing (eess.SP)
FOS: Computer and information sciences Sound (cs.SD) Audio and Speech Processing (eess.AS) FOS: Electrical engineering electronic engineering information engineering Electrical Engineering and Systems Science - Signal Processing Computer Science - Sound Electrical Engineering and Systems Science - Audio and Speech Processing |
| DOI: | 10.48550/arxiv.2204.13622 |
| Popis: | This paper introduces the Fast Cross-Correlation (FCC) method for Time Difference of Arrival (TDoA) Estimation for pairs of microphones on a small aperture microphone array. FCC relies on low-rank decomposition and exploits symmetry in even and odd bases to speed up computation while preserving TDoA accuracy. FCC reduces the number of flops by a factor of 4.5 and the execution speed by factors between 3.5 and 8.3 on embedded hardware, compared to the state-of-the-art Generalized Cross-Correlation (GCC) method that relies on the Fast Fourier Transform (FFT). This improvement can provide portable microphone arrays with extended battery life and allow real-time processing on low-cost hardware. Comment: Submitted to IEEE ICASSP 2023 |
| Databáze: | OpenAIRE |
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