Abstract
Localization of sounds in physical space plays a very important role in multiple audio-related disciplines, such as music, telecommunications, and audiovisual productions. Binaural recording is the most commonly used method to provide an immersive sound experience by means of headphone reproduction. However, it requires a very specific recording setup using high-fidelity microphones mounted in a dummy head. In this paper, we present a novel processing framework for binaural sound recording and reproduction that avoids the use of dummy heads, which is specially suitable for immersive teleconferencing applications. The method is based on a time-frequency analysis of the spatial properties of the sound picked up by a simple tetrahedral microphone array, assuming source sparseness. The experiments carried out using simulations and a real-time prototype confirm the validity of the proposed approach.
Highlights
IntroductionSound is perceived in all three dimensions, width, height, and depth, which are all necessary to achieve a natural perception of sound [1]
Human hearing plays a major role in the way our environment is perceived
Regarding sound quality (Figure 6(a)), it can be observed that in anechoic conditions (T60 = 0), there are no significant differences between both binaural reproduction methods
Summary
Sound is perceived in all three dimensions, width, height, and depth, which are all necessary to achieve a natural perception of sound [1]. These attributes are usually employed to describe the spatial characteristics of sound taking into account its diffuseness properties. The human auditory system is very sophisticated and, capable to analyze and extract most spatial information pertaining to a sound source using two ears. Much of the information corresponding to the spatial properties of these events is lost. Spatial sound recording and reproduction techniques are always based on a multichannel approach
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