Acoustic Reflector Localization: Novel Image Source Reversion and Direct Localization Methods

Abstract

Acoustic reflector localization is an important issue in audio signal processing, with direct applications in spatial audio, scene reconstruction, and source separation. Several methods have recently been proposed to estimate the 3D positions of acoustic reflectors given room impulse responses (RIRs). In this article, we categorize these methods as "image-source reversion", which localizes the image source before finding the reflector position, and "direct localization", which localizes the reflector without intermediate steps. We present five new contributions. First, an onset detector, called the clustered dynamic programming projected phase-slope algorithm, is proposed to automatically extract the time of arrival for early reflections within the RIRs of a compact microphone array. Second, we propose an image-source reversion method that uses the RIRs from a single loudspeaker. It is constructed by combining an image source locator (the image source direction and range (ISDAR) algorithm), and a reflector locator (using the loudspeaker-image bisection (LIB) algorithm). Third, two variants of it, exploiting multiple loudspeakers, are proposed. Fourth, we present a direct localization method, the ellipsoid tangent sample consensus (ETSAC), exploiting ellipsoid properties to localize the reflector. Finally, systematic experiments on simulated and measured RIRs are presented, comparing the proposed methods with the state-of-the-art. ETSAC generates errors lower than the alternative methods compared through our datasets. Nevertheless, the ISDAR-LIB combination performs well and has a run time 200 times faster than ETSAC.

References in corpus (1)

• Raking the Cocktail Party

Cited by in corpus (9)

• Modeling the Comb Filter Effect and Interaural Coherence for Binaural Source Separation
• EchoScan: Scanning Complex Room Geometries via Acoustic Echoes
• Fully Reversing the Shoebox Image Source Method: From Impulse Responses to Room Parameters
• RGI-Net: 3D Room Geometry Inference from Room Impulse Responses With Hidden First-Order Reflections
• dEchorate: a Calibrated Room Impulse Response Database for Echo-aware Signal Processing
• Prediction of Object Geometry from Acoustic Scattering Using Convolutional Neural Networks
• On Time Delay Interpolation for Improved Acoustic Reflector Localization
• Gridless 3D Recovery of Image Sources from Room Impulse Responses
• RIR-Former: Coordinate-Guided Transformer for Continuous Reconstruction of Room Impulse Responses