Sentence examples for microphone distribution from inspiring English sources

This article is organized as follows: Section 2 presents the formulations for computing array gains based on DSB and indicates its relationship with microphone distribution.

GCC-PHAT postprocessing is performed via acoustic map, which allows one to take into account implicitly some real constraints introduced by the geometry of the problem (e.g., microphone distribution in space, size of the room, etc).

This article, therefore, focuses on the relationship between microphone distribution properties and spatial filtering performance that is more suited for cases when the focal point is close to the arrays and the arrays have irregular placements.

Where d sp denotes the distance from sound source r s to microphone position r p, and d ip denotes the distance from focal point r i to microphone position r p. Therefore, the formulation of beamforming power for sources in FOV is separated into three parts; the source power, propagation effects and beamforming weights, and the microphone distribution.

The objective in selecting a microphone distribution is to minimize the average value of the exponential terms in Equation (7) when r s  ≠ r i while maximizing the average when r s  = r i for all possible target and noise positions in the FOV.

Variations in the microphone distributions will have little impact on performance, unlike for near-field applications.

Novel geometry descriptors are developed to capture the properties of irregular microphone distributions showing their impact on array performance.

The results of this article were based on Monte Carlo experiments with planar microphone distributions, which are more applicable for indoor applications, such as audio surveillance systems.

Therefore, four geometry descriptors {L, a, σ, J} are proposed to characterize both regular and irregular microphone distributions and study their impact on array beamforming performance.

In order to reveal the impact of microphone distributions on beamforming performance, this section presents the formulations to compute the three-dimensional array gains for microphone arrays relative to a given focal point.

Geometry descriptors based on the statistics of DPD distribution show a correlation with array performance when the focal points and microphone distributions are typical for immersive or near-field applications.