Time-difference of arrival model for spherical microphone arrays and application to direction of arrival estimation
Joonas Nikunen, Tuomas Virtanen
Abstract
Joonas Nikunen, Tuomas Virtanen
Abstract
This paper investigates different steering techniques for spherical microphone arrays and proposes a time-difference of arrival (TDOA) model for microphones on surface of a rigid sphere. The model is based on geometric interpretation of wavefront incident angle and the extra distance the wavefront needs to travel to reach microphones on the opposite side of a sphere. We evaluate the proposed model by comparing analytic TDOAs to measured TDOAs extracted from impulse responses (IR) of a rigid sphere (r = 7.5cm). The proposed method achieves over 40% relative improvement in TDOA accuracy in comparison to free-field propagation and TDOAs extracted from analytic IRs of a spherical microphone array provide an additional 10% improvement. We test the proposed model for the application of source direction of arrival (DOA) estimation using steered response power (SRP) with real reverberant recordings of moving speech sources. All tested methods perform equally well in noise-free scenario, while the proposed model and simulated IRs improve over free-field assumption in low SNR conditions. The proposed model has the benefit of only using single delay for steering the array.
OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
This paper investigates different steering techniques for spherical microphone arrays and proposes a time-difference of arrival (TDOA) model for microphones on surface of a rigid sphere. The model is based on geometric interpretation of wavefront incident angle and the extra distance the wavefront needs to travel to reach microphones on the opposite side of a sphere. We evaluate the proposed model by comparing analytic TDOAs to measured TDOAs extracted from impulse responses (IR) of a rigid sphere (r = 7.5cm). The proposed method achieves over 40% relative improvement in TDOA accuracy in comparison to free-field propagation and TDOAs extracted from analytic IRs of a spherical microphone array provide an additional 10% improvement. We test the proposed model for the application of source direction of arrival (DOA) estimation using steered response power (SRP) with real reverberant recordings of moving speech sources. All tested methods perform equally well in noise-free scenario, while the proposed model and simulated IRs improve over free-field assumption in low SNR conditions. The proposed model has the benefit of only using single delay for steering the array.
Key concepts: Multilateration, Microphone array, Acoustics, Microphone, Wavefront, Direction of arrival, Impulse (physics), Computer science