Discriminative Binaural Sound Localization
Abstract
Time difference of arrival (TDOA) is commonly used to estimate the az- imuth of a source in a microphone array. The most common methods to estimate TDOA are based on finding extrema in generalized cross- correlation waveforms. In this paper we apply microphone array tech- niques to a manikin head. By considering the entire cross-correlation waveform we achieve azimuth prediction accuracy that exceeds extrema locating methods. We do so by quantizing the azimuthal angle and treating the prediction problem as a multiclass categorization task. We demonstrate the merits of our approach by evaluating the various ap- proaches on Sony’s AIBO robot.
Cite
Text
Ben-reuven and Singer. "Discriminative Binaural Sound Localization." Neural Information Processing Systems, 2002.Markdown
[Ben-reuven and Singer. "Discriminative Binaural Sound Localization." Neural Information Processing Systems, 2002.](https://mlanthology.org/neurips/2002/benreuven2002neurips-discriminative/)BibTeX
@inproceedings{benreuven2002neurips-discriminative,
title = {{Discriminative Binaural Sound Localization}},
author = {Ben-reuven, Ehud and Singer, Yoram},
booktitle = {Neural Information Processing Systems},
year = {2002},
pages = {1253-1260},
url = {https://mlanthology.org/neurips/2002/benreuven2002neurips-discriminative/}
}