DocumentCode :
3599856
Title :
Binaural sound localization based on time-delay compensation and spatial grid matching
Author :
Baolong Zhao ; Zhuo Fu ; Jie Zhang ; Yuezhao Chen ; Runwei Ding
Author_Institution :
Shenzhen Nat. Eng. Lab., Digital Telev. Co. Ltd., Shenzhen, China
fYear :
2014
Firstpage :
287
Lastpage :
291
Abstract :
Binaural source localization is a popular technique in various applications, such as hearing aids, mobile robot, video conference, etc. However, robust binaural cues estimate and suitable localization strategy are always limiting its performance. In this paper, a new algorithm for binaural sound source localization is presented, which is a two-layer model. In the first layer, a spectral weighting generalized cross correlation-phase transformation (GCC-PHAT) method is presented for robust time-delay estimation, by which the probabilistic azimuths of sound source are obtained. In the second layer, an improved algorithm is introduced, which is named Compensated Interaural Intensity Difference (CIID). Based on the probabilistic azimuth localization results and CIID features, spatial grid matching (SGM) is presented to provide a Bayesian model for localizing azimuth and elevation. Compared with three other algorithms, experimental results show that the proposed method has a robust result even in noisy environments.
Keywords :
Bayes methods; acoustic signal processing; ClID algorithm; GCC-PHAT method; SGM; binaural sound source localization strategy; compensated interaural intensity difference algorithm; noisy environment; probabilistic Bayesian model; robust binaural cue estimation; robust time-delay compensation estimation; spatial grid matching; spectral weighting generalized cross correlation-phase transformation method; two-layer model; Codecs; Ear; Noise; Robots; Shape; Compensated interaural intensity difference; Sound source localization; Spatial grid matching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing and Intelligence Systems (CCIS), 2014 IEEE 3rd International Conference on
Print_ISBN :
978-1-4799-4720-1
Type :
conf
DOI :
10.1109/CCIS.2014.7175744
Filename :
7175744
Link To Document :
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