DocumentCode :
168317
Title :
A Speech Enhancement System Using Binary Mask Approach and Spectral Subtraction Method
Author :
Tsai-Tsung Han ; Pei-Yun Liu
Author_Institution :
Electr. Eng., Nat. Central Univ., Chungli, Taiwan
fYear :
2014
fDate :
10-12 June 2014
Firstpage :
1065
Lastpage :
1068
Abstract :
In this paper, we proposed a speech enhancement system by combining the binary time-frequency mask and spectral subtraction method. It is constructed in Short Time Fourier Transform (STFT) domain with feature extraction assistance. The binary mask approach and spectral subtraction techniques are also applied. Analysis is done on noisy speech signal corrupted by factory noise at -3dB, 0dB and 3dB SNR levels. Simulation and results are performed in MATLAB 7.14 (R2012a). With the output SNR (Signal to Noise Ratio) analysis, we have obtained promising results in real experimental environment.
Keywords :
Fourier transforms; feature extraction; speech enhancement; SNR; STFT; Short Time Fourier Transform; binary mask approach; binary time-frequency mask; feature extraction assistance; noisy speech signal; signal to noise ratio analysis; spectral subtraction method; spectral subtraction techniques; speech enhancement system; Noise measurement; Signal to noise ratio; Source separation; Speech; Speech enhancement; Time-frequency analysis; STFT; binary mask approach; blind source separation; spectral subtraction; speech enhancement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer, Consumer and Control (IS3C), 2014 International Symposium on
Conference_Location :
Taichung
Type :
conf
DOI :
10.1109/IS3C.2014.278
Filename :
6846070
Link To Document :
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