Paper Info
Title
Improving Sound Localization for Hearing Aid Devices Using Smartphone Assisted Technology
Abstract
Sound Source Localization (SSL) via finding the direction of arrival (DOA) of source signals improves the performance of hearing aid devices (HAD) for the users. In this paper, we present a proposed SSL algorithm - 'Dictionary-based Singular Value Decomposition (SVD) for Principal SL' using the non-uniform non-linear microphone array (NUNLA) available on smartphone as an assistive device to HADs. The proposed algorithm with NUNLA has superior performance compared with uniform linear arrays (ULA) and popular DOA estimation algorithm. Advantages of using proposed SSL method are presented using polar directivity patterns (PDP) and Root Mean Squares Error (RMSE) values using single speech sources in Additive White Gaussian Noise (AWGN) at low signal to noise ratios (SNRs). PDP and RMSE values show that the proposed method, unlike other methods, is capable of accurate SSL over a complete 360° scan, with low average RMSE at very low SNRs.
Year
DOI
Venue
2016
10.1109/SiPS.2016.37
2016 IEEE International Workshop on Signal Processing Systems (SiPS)
Keywords
Field
DocType
Source Localization,Microphone Arrays,Non-Uniform Non Linear Microphone Arrays,Singular Value Decomposition(SVD),Hearing Aid Devices,Smartphone
Singular value decomposition,Computer science,Hearing aid,Direction of arrival,Signal-to-noise ratio,Algorithm,Mean squared error,Speech recognition,Microphone array,Real-time computing,Additive white Gaussian noise,Acoustic source localization
Conference
ISBN
Citations 
PageRank 
978-1-5090-3362-1
0
0.34
References 
Authors
2
4
Name
Order
Citations
PageRank
Anshuman Ganguly112.10
Chandan K. Reddy280373.50
Yiya Hao300.68
Issa M. S. Panahi44914.53