Head‐related transfer function–reserved time‐frequency masking for robust binaural sound source localization

A Binaural Sound Source Localization System for a Mobile Robot

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...

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...

Binaural source localization

In binaural signals, interaural time differences (ITDs) and interaural level differences (ILDs) are two of the most important cues for the estimation of source azimuths, i.e. the localization of sources in the horizontal plane. For narrow band signals, according to the duplex theory, ITD is dominant at low frequencies and ILD is dominant at higher frequencies. Based on the STFT spectra of binau...

Subband Selection for Binaural Speech Source Localization

We consider the task of speech source localization using binaural cues, namely interaural time and level difference (ITD & ILD). A typical approach is to process binaural speech using gammatone filters and calculate frame-level ITD and ILD in each subband. The ITD, ILD and their combination (ITLD) in each subband are statistically modelled using Gaussian mixture models for every direction durin...