Audio Beamforming and Multidimensional Signal Processing

HOSHUYAMA Osamu, SUGIYAMA Akihiko

This paper presents an overview of audio beamforming for sound aquisition with microphone arrays from a view point of multidimensional signal processing. Audio beamforming is a signal processing technique using microphones located at spatially different positions to ccntrol a filter in the frequency and the spatial domain, i.e. directivity pattern. Such signal processing should be considered as a spatio-temporal filter combining a spatial filter and a temporal filter. Because the directivity pattern is determined by the wave length of the acoustic signal and the array size, it is difficult to form a disirable response across such a wide frequency range over one decade which is required in audio applications. For fixed beamforming, design methods and transforms have been proposed to obtain a desired response in the specified environment. Adaptive beamforminmg techniques are reaching a level of practical use with transformations, constraints, and limitations on the degrees of of freedom in the multidimensional space. A wide variety of signal processing techniques specific to acoustic signals such as psycoacoustics, speech characteristics, and sound propagation models have been developed. Reduction of computations and fast-convergence algorithms will be of great importance.

Audio Beamforming and Multidimensional Signal Processing

Bibliographic Information

Search this article

Description

Journal

Citations (3)*help

References(48)*help

Keywords

Details 詳細情報について

Export

Report a problem