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Acoustic reflector localization and classification

Remaggi, Luca, Kim, Hansung, Jackson, Philip, Fazi, Filippo Maria and Hilton, Adrian (2018) Acoustic reflector localization and classification In: ICASSP 2018 - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 15 - 20 Apr 2018, Calgary, Canada.

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The process of understanding acoustic properties of environments is important for several applications, such as spatial audio, augmented reality and source separation. In this paper, multichannel room impulse responses are recorded and transformed into their direction of arrival (DOA)-time domain, by employing a superdirective beamformer. This domain can be represented as a 2D image. Hence, a novel image processing method is proposed to analyze the DOA-time domain, and estimate the reflection times of arrival and DOAs. The main acoustically reflective objects are then localized. Recent studies in acoustic reflector localization usually assume the room to be free from furniture. Here, by analyzing the scattered reflections, an algorithm is also proposed to binary classify reflectors into room boundaries and interior furniture. Experiments were conducted in four rooms. The classification algorithm showed high quality performance, also improving the localization accuracy, for non-static listener scenarios.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Date : 20 April 2018
Funders : Engineering and Physical Sciences Research Council (EPSRC)
Grant Title : Programme Grant S3A: Future Spatial Audio for an Immersive Listener Experience at Home
Copyright Disclaimer : © 2018 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See for more information.
Uncontrolled Keywords : Reflector Localization; Reflector Size Classification; Room Impulse Response; Beamforming
Related URLs :
Depositing User : Clive Harris
Date Deposited : 16 Feb 2018 14:27
Last Modified : 16 Feb 2018 14:27

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