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Full-Sphere Binaural Sound Source Localization by Maximum-Likelihood Estimation of Interaural Parameters

Hammond, Benjamin and Jackson, Philip (2017) Full-Sphere Binaural Sound Source Localization by Maximum-Likelihood Estimation of Interaural Parameters In: AES 142nd Convention, May 20–23 2017, Berlin, Germany.

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Abstract

Binaural recording technology offers an inexpensive, portable solution for spatial audio capture. In this paper, a full-sphere 2D localization method is proposed which utilizes the Model-Based Expectation-Maximization Source Separation and Localization system (MESSL). The localization model is trained using a full-sphere head related transfer function dataset and produces localization estimates by maximum-likelihood of frequency-dependent interaural parameters. The model’s robustness is assessed using matched and mismatched HRTF datasets between test and training data, with environmental sounds and speech. Results show that the majority of sounds are estimated correctly with the matched condition in low noise levels; for the mismatched condition, a ‘cone of confusion’ arises with albeit effective estimation of lateral angles. Additionally, the results show a relationship between the spectral content of the test data and the performance of the proposed method.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Hammond, Benjaminb.hammond@surrey.ac.uk
Jackson, PhilipP.Jackson@surrey.ac.uk
Date : 11 May 2017
Funders : EPSRC
Copyright Disclaimer : Copyright 2017 Audio Engineering Society. This paper was presented at the 142nd Convention of the Audio Engineering Society, as paper number 9771. The full published version can be found at http://www.aes.org/e-lib/browse.cfm?elib=18647
Related URLs :
Depositing User : Melanie Hughes
Date Deposited : 27 Apr 2018 15:30
Last Modified : 11 Dec 2018 11:24
URI: http://epubs.surrey.ac.uk/id/eprint/846324

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