2009•IEEE Transactions on Audio Speech and Language ProcessingRequires access

Binaural Source Localization by Joint Estimation of ILD and ITD

Martin Raspaud, Harald Viste, Gianpaolo Evangelista

Open publisher page 138 citations

Abstract

In this paper, we propose a binaural source localization method based on interaural time differences (ITDs) and interaural level differences (ILDs). The two cues, computed from a two-channel time-frequency representation, are combined in order to estimate the azimuth of sources in binaural recording. We introduce an individual parametric model for the ITD and ILD, and an average parametric model that sets us free from measurements of the subjects' HRIRs for sound localization. We conduct several experiments to validate the proposed approach and show that it compares favorably with available techniques.

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What this paper is about

In this paper, we propose a binaural source localization method based on interaural time differences (ITDs) and interaural level differences (ILDs). The two cues, computed from a two-channel time-frequency representation, are combined in order to estimate the azimuth of sources in binaural recording. We introduce an individual parametric model for the ITD and ILD, and an average parametric model that sets us free from measurements of the subjects' HRIRs for sound localization. We conduct several experiments to validate the proposed approach and show that it compares favorably with available techniques.

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OpenAlex reports 138 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this paper, we propose a binaural source localization method based on interaural time differences (ITDs) and interaural level differences (ILDs). The two cues, computed from a two-channel time-frequency representation, are combined in order to estimate the azimuth of sources in binaural recording. We introduce an individual parametric model for the ITD and ILD, and an average parametric model that sets us free from measurements of the subjects' HRIRs for sound localization. We conduct several experiments to validate the proposed approach and show that it compares favorably with available techniques.

Key concepts: Binaural recording, Sound localization, Parametric statistics, Azimuth, Interaural time difference, Computer science, Representation (politics), Speech recognition

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