To identify the localization of indoor sound source, especially when attempted using only a single microphone, it is challenging problem to machine learning. address these issues, this paper presents distinct novel solution based on fusing visual and acoustic models. Therefore, we propose two approaches. First, estimate orientation vocal object in stable manner, employ approach as estimation mo...

Title of Document: FLY-EAR INSPIRED MINIATURE SENSOR SYSTEM FOR TWO-DIMENSIONAL SOUND SOURCE LOCALIZATION Andrew P. Lisiewski, Master of Science, 2011 Directed By: Associate Professor Miao Yu Sensors and Actuators Laboratory Department of Mechanical Engineering A micro-scale sound localization sensor is developed and studied in this thesis to address the fundamental challenge of miniaturizing s...

HRTFs (head-related transfer functions) are available for sound field reproduction with spatial fidelity, since HRTFs involve the acoustic cues such as interaural time difference, interaural intensity difference and spectral cues that are used for the perception of the location of a sound image. Generally, FIR filters are used in the simulation of HRTFs. However, this method is not useful for a...

Although the auditory cortex plays a necessary role in sound localization, physiological investigations in the cortex reveal inhomogeneous sampling of auditory space that is difficult to reconcile with localization behavior under the assumption of local spatial coding. Most neurons respond maximally to sounds located far to the left or right side, with few neurons tuned to the frontal midline. ...