A comparison of measured room acoustics metrics using a spherical microphone array and conventional methods

Dick, David A.; Vigeant, Michelle C.

doi:10.1016/j.apacoust.2016.01.008

Cited by 7 publications

(1 citation statement)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The sound source geometric localization algorithm [31][32][33] and position calibration methods [29,30,34] are based on a microphone array model [23,[35][36][37][38]; the establishment of a reasonable set microphone array model and array element spacing can better match algorithm, reduce the complexity 2 Complexity of the calculation, and improve the efficiency of the operation and sound comprehensive orientation calibration precision. A seven-element microphone array model was established, and seven microphones were used to compose the array as shown in Figures 1-4: Figure 1 shows the array model where the sound source S is not on the x-0-z plane, 0-y-z plane, and z-axis; Figure 2 shows the array model of the sound source S on the x-0-z plane; Figure 3 shows the array model of the sound source S on the 0-y-z plane; Figure 4 shows the array model of the sound source S on the z-axis.…”

Section: Seven-element Microphone Array Modelmentioning

confidence: 99%

Sound Source Omnidirectional Positioning Calibration Method Based on Microphone Observation Angle

Yang

Xing

2018

Complexity

View full text Add to dashboard Cite

To get source azimuth from microphone observation angle of view in a complex real environment, this article, on the basis of the analysis of geometric positioning method, established a seven-element microphone array model and proposed a sound source omnidirectional positioning calibration method based on microphone observation angle. By using a seven-element array to invert the position and angle of a sound source, the relative time delay value of a pair of microphones on the vertical axis of the coordinate system is used to determine the elevation angle polarity and realize the omnidirectional sound source positioning. The array parameters, sound velocity, array size, horizontal deflection angle, elevation angle, and sound source are analyzed, and the error method is proposed. The sound source data was measured using the microphone array perspective, and a new Cartesian coordinate system was established based on the observation angle of view for omnidirectional positioning calibration of the sound source. The simulation results show that the position error of the method is about 0.01% and the angle error is about 0.005%, with high calibration accuracy. The actual measurement results show that this method can effectively calibrate the sound source azimuth, the error rate of the source coordinates is around 10%, the horizontal declination angle error is less than 5%, and the elevation angle error is less than 8%. Appropriately increasing the spacing of the array will have a better calibration effect in an actual complex experimental environment.

show abstract