Reflection Assisted Sound Source Localization Through a Harmonic Domain MUSIC Framework

Birnie, Lachlan; Abhayapala, Thushara D.; Samarasinghe, Prasanga N.

doi:10.1109/taslp.2019.2953000

Cited by 22 publications

(7 citation statements)

References 41 publications

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“…Above properties can be exploited to achieve single source localization [21]. Assuming a single source located within area of Ω, we use (8) to estimate its RHC over a wide frequency band and then compute the smoothed RHC vector, i.e.,λ = [λ00, • • • ,λNN ] T . Finally, we compare this vectorλ to the analytical set of H 2 in (11) to recover the source's original DOA, argmin (ϑs,ϕs)…”

Section: Three Rhc Based Doa Estimatorsmentioning

confidence: 99%

“…In recent decade, there is a growing interest in using higher order microphone arrays (e.g., spherical microphone arrays) for sound source localization [6][7][8]. The microphone arrays are capable of recording the soundfield over a large area, whose measurements can be decomposed into the spherical harmonics domain (SHD) using a set of orthogonal spatial functions [9].…”

Section: Introductionmentioning

confidence: 99%

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Evaluation and Comparison of Three Source Direction-of-Arrival Estimators Using Relative Harmonic Coefficients

Samarasinghe

Gannot

et al. 2021

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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A spherical harmonics domain source feature called relative harmonic coefficients (RHC) has recently been applied to address the source direction-of-arrival (DOA) estimation problem. This paper presents a compact evaluation and comparison between two existing RHC based DOA estimators: (i) a method using a full grid search over the two-dimensional (2-D) directional space, (ii) a decoupled estimator which uses one-dimensional (1-D) search to separately localize the source's elevation and azimuth. We also propose a new estimator using a gradient descent search over the 2-D directional grid space. Extensive experiments in both simulated and real-life environments are conducted to examine and analyze the performance of all the underlying DOA estimators. Two objective metrics, including localization accuracy and algorithm complexity, are adopted for an evaluation and comparison between all estimators.

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Section: Three Rhc Based Doa Estimatorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation and Comparison of Three Source Direction-of-Arrival Estimators Using Relative Harmonic Coefficients

Samarasinghe

Gannot

et al. 2021

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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“…In this section, we present the analysis of the reflection power response of two rooms from their RIR datasets recorded using an em32 Eigenmike [38], which is a Q = 32 element rigid spherical microphone array of radius R = 0.042 m. Both the RIR datasets were measured using a source signal generated from a directional loudspeaker. The first RIR dataset available from the work in [39] is for a small audio laboratory room of size 3.54 × 4.06 × 2.70 m, hereafter referred to as Room-1. The second RIR dataset from [40] pertains to a larger classroom of size 6.5 × 8.3 × 2.9 m, hereafter referred to as Room-2.…”

Section: Experimental Analysismentioning

confidence: 99%

Power Response and Modal Decay Estimation of Room Reflections from Spherical Microphone Array Measurements Using Eigenbeam Spatial Correlation Model

2021

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Modal decays and modal power distribution in acoustic environments are key factors in deciding the perceptual quality and performance accuracy of audio applications. This paper presents the application of the eigenbeam spatial correlation method in estimating the time-frequency-dependent directional reflection powers and modal decay times. The experimental results evaluate the application of the proposed technique for two rooms with distinct environments using their room impulse response (RIR) measurements recorded by a spherical microphone array. The paper discusses the classical concepts behind room mode distribution and the reasons behind their complex behavior in real environments. The time-frequency spectrum of room reflections, the dominant reflection locations, and the directional decay rates emulate a realistic response with respect to the theoretical expectations. The experimental observations prove that our model is a promising tool in characterizing early and late reflections, which will be beneficial in controlling the perceptual factors of room acoustics.

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“…In recent decades, the array with high number of microphones (more than 30 microphones) for recording the speech signals are widely considered for SSL [15,16]. The high number of microphones prepare the possibility of using a set of orthogonal spatial functions for decomposing the measured voice pressure in spherical harmonic domain (SHC) [17].…”

Section: Introductionmentioning

confidence: 99%

3D Multiple Sound Source Localization by Proposed T-Shaped Circular Distributed Microphone Arrays in Combination with GEVD and Adaptive GCC-PHAT/ML Algorithms

Firoozabadi

Irarrázaval

Adasme

et al. 2022

Sensors

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Multiple simultaneous sound source localization (SSL) is one of the most important applications in the speech signal processing. The one-step algorithms with the advantage of low computational complexity (and low accuracy), and the two-step methods with high accuracy (and high computational complexity) are proposed for multiple SSL. In this article, a combination of one-step-based method based on the generalized eigenvalue decomposition (GEVD), and a two-step-based method based on the adaptive generalized cross-correlation (GCC) by using the phase transform/maximum likelihood (PHAT/ML) filters along with a novel T-shaped circular distributed microphone array (TCDMA) is proposed for 3D multiple simultaneous SSL. In addition, the low computational complexity advantage of the GCC algorithm is considered in combination with the high accuracy of the GEVD method by using the distributed microphone array to eliminate spatial aliasing and thus obtain more appropriate information. The proposed T-shaped circular distributed microphone array-based adaptive GEVD and GCC-PHAT/ML algorithms (TCDMA-AGGPM) is compared with hierarchical grid refinement (HiGRID), temporal extension of multiple response model of sparse Bayesian learning with spherical harmonic (SH) extension (SH-TMSBL), sound field morphological component analysis (SF-MCA), and time-frequency mixture weight Bayesian nonparametric acoustical holography beamforming (TF-MW-BNP-AHB) methods based on the mean absolute estimation error (MAEE) criteria in noisy and reverberant environments on simulated and real data. The superiority of the proposed method is presented by showing the high accuracy and low computational complexity for 3D multiple simultaneous SSL.

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Reflection Assisted Sound Source Localization Through a Harmonic Domain MUSIC Framework

Cited by 22 publications

References 41 publications

Evaluation and Comparison of Three Source Direction-of-Arrival Estimators Using Relative Harmonic Coefficients

Evaluation and Comparison of Three Source Direction-of-Arrival Estimators Using Relative Harmonic Coefficients

Power Response and Modal Decay Estimation of Room Reflections from Spherical Microphone Array Measurements Using Eigenbeam Spatial Correlation Model

3D Multiple Sound Source Localization by Proposed T-Shaped Circular Distributed Microphone Arrays in Combination with GEVD and Adaptive GCC-PHAT/ML Algorithms

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