Binaural sound source localization based on weighted template matching

Discriminative Binaural Sound Localization

Time difference of arrival (TDOA) is commonly used to estimate the azimuth of a source in a microphone array. The most common methods to estimate TDOA are based on finding extrema in generalized crosscorrelation waveforms. In this paper we apply microphone array techniques to a manikin head. By considering the entire cross-correlation waveform we achieve azimuth prediction accuracy that exceeds...

A Binaural Sound Source Localization System for a Mobile Robot

Binaural Sound Source Localization in Noisy Reverberant Environments Based on Equalization-Cancellation Theory

Spatial Hearing Algorithms Based on Binaural Zero-Crossings: Sound Source Localization, Segregation, and Dereverberation

This thesis concerns a new zero-crossing-based binaural model for spatial hearing. Conventional binaural model computes cross-correlations of binaural signals for the estimation of the interaural time difference which is a primary spatial cue. However, the cross-correlationbased binaural processing model requires high computational complexity and suffers from inaccuracies in localizing sound so...

Chapter 5 Binaural Sound Localization

We listen to speech (as well as to other sounds) with two ears, and it is quite remarkable how well we can separate and selectively attend to individual sound sources in a cluttered acoustical environment. In fact, the familiar term ‘cocktail party processing’ was coined in an early study of how the binaural system enables us to selectively attend to individual conversations when many are prese...