DocumentCode :
3489147
Title :
Sound classification for hearing aids using time-frequency images
Author :
Abe, Koji ; Sakaue, Hidetoshi ; Okuno, Takatoshi ; Terada, Kiyoaki
Author_Institution :
Interdiscipl. Grad. Sch. of Sci. & Eng., Kinki Univ., Osaka, Japan
fYear :
2011
fDate :
23-26 Aug. 2011
Firstpage :
719
Lastpage :
724
Abstract :
This paper presents a sound classification method for hearing aids based on time-frequency image processing. As an application of hearing aids in mind, four classes of ”Speech”, ”Speech in noise”, ”Noise” and ”Classical music” are prepared in order to classify the input signal of a hearing aid into useful classes. Although there are several possible ways to figure out which class the current input signal belongs to, an approach from image processing is utilised to find out several appropriate features because 2D image (time-frequency image) can contain multifaceted information compared to 1D information (waveform or frequency response of sound), and can be regarded as comprehensive data. It is found that eleven features are required to meet a certain quality of sound classification according to our investigation.
Keywords :
frequency response; hearing aids; image processing; signal classification; speech processing; time-frequency analysis; 1D information; 2D image; classical music class; frequency response; hearing aids; input signal; multifaceted information; sound classification; speech class; speech in noise class; time-frequency image processing; time-frequency images; Feature extraction; Histograms; Signal to noise ratio; Speech; Support vector machines; Time frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Computers and Signal Processing (PacRim), 2011 IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
ISSN :
1555-5798
Print_ISBN :
978-1-4577-0252-5
Electronic_ISBN :
1555-5798
Type :
conf
DOI :
10.1109/PACRIM.2011.6032982
Filename :
6032982
Link To Document :
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