Clean Audio for TV broadcast: An Object-Based Approach for Hearing-Impaired Viewers - April 2015
Sound Board: Food for Thought, Aesthetics in Orchestra Recording - April 2015
Beamforming Regularization, Scaling Matrices, and Inverse Problems for Sound Field Extrapolation and Characterization: Part I — Theory
The underlying hypothesis in spatial sound reproduction technologies is that a listener immersed in a physical reconstruction of a target sound field will experience the appropriate perception over a large listening area. The aim of this paper is twofold: to develop and describe a method of spatial sound field extrapolation (SFE) based on microphone array measurements of arbitrary geometry, and to develop and define a sound field characterization method and a sound field classification based on known objective and subjective metrics. To achieve SFE, a recently developed method was proposed and further analyzed. Once SFE was achieved, the inverse problem solution was investigated to evaluate different sound field metrics: energy density, sound intensity, direction of arrival, diffuseness, velocity vector, energy vector, directional energy, interaural time difference, incident directivity factor, incident directivity index, and directional diffusion.
This paper costs $20 for non-members, $5 for AES members and is free for E-Library subscribers.