DocumentCode :
1768636
Title :
De-noising filter study of the sound-source using the DWT
Author :
Bo-Yeon Hwang ; Jong-Ho Han ; Min-Gyu Kim ; Jang-Myung Lee
Author_Institution :
Dept. of Electron., Electr. & Comput. Eng., Pusan Nat. Univ., Pusan, South Korea
fYear :
2014
fDate :
22-25 Oct. 2014
Firstpage :
856
Lastpage :
861
Abstract :
In this paper, the de-noising filter study of the sound-source using the DWT is introduced. We suggest the de-noising filter using the Discrete Wavelet Transform (DWT). The DWT has been performed to remove out the noises from the signals. In order to confirm the performance of suggested filtering algorithm, we estimate the distance and angle from the microphone to the sound-source and compare the filtered signal to the original signal. To calculate the distance and angle, we use the cross-correlation that is possible to estimate the time difference for sound waves reaching more than two sound-source obtaining devices. Also, through the sound-source obtaining devices and carrying out the geometric interpretation, the location of each sound-source can be found.
Keywords :
correlation methods; discrete wavelet transforms; filtering theory; geometry; microphone arrays; signal denoising; speech recognition; DWT; angle estimation; cross-correlation; discrete wavelet transform; distance estimation; filtering algorithm; geometric interpretation; human voice recognition; microphone array; sound waves; sound-source denoising filter study; sound-source obtaining devices; time difference estimation; Discrete wavelet transforms; Equations; Noise; Noise reduction; Writing; De-noising Filter; Discrete Wavelet Transform; Microphone array; Sound Source;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems (ICCAS), 2014 14th International Conference on
Conference_Location :
Seoul
ISSN :
2093-7121
Print_ISBN :
978-8-9932-1506-9
Type :
conf
DOI :
10.1109/ICCAS.2014.6987900
Filename :
6987900
Link To Document :
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