Title :
Localisation of a sound source in different positions using Kinect sensors
Author :
Orchard, Jeff ; Hioka, Yusuke
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Canterbury, Christchurch, New Zealand
Abstract :
A novel acoustic signal processing algorithm for sound source localisation is proposed and is implemented using two Microsoft Kinect sensors. The proposed method performs sound source localisation using a two stage method. A coarse grain location estimate is first made followed by a more accurate estimate of sound source location by estimating power spectral densities of a number of two-dimensional spatial regions. The paper outlines the sound source localisation method is able to localise a sound source within a series of predefined spatial regions. Testing of the proposed method shows it is able to localise an active sound source whilst maintaining low computational cost and can maintain good localisation performance whilst ambient noise is present.
Keywords :
acoustic generators; acoustic radiators; acoustic signal processing; acoustic transducers; sensors; Microsoft Kinect sensor; acoustic signal processing algorithm; coarse grain location estimation; power spectral density estimation; sound source localisation method; two stage method; two-dimensional spatial region; Arrays; Estimation; Microphones; Noise; Position measurement; Sensors; Testing; Kinect sensor; Sound localisation; generalised cross correlation; microphone array; power spectral density estimation;
Conference_Titel :
Sensors Applications Symposium (SAS), 2014 IEEE
Conference_Location :
Queenstown
Print_ISBN :
978-1-4799-2180-5
DOI :
10.1109/SAS.2014.6798932