DocumentCode
2163198
Title
Methods for detecting impulsive noise in speech and audio signals
Author
Kauppinen, Lsmo
Author_Institution
Dept. of Phys., Turku Univ., Finland
Volume
2
fYear
2002
fDate
2002
Firstpage
967
Abstract
Computationally efficient methods for detecting non-Gaussian impulsive noise in digital speech and audio signals are presented. The aim of the detection is to find the errors without false detections in the case of e.g. percussive sounds in music signal or stop-consonants in speech signal. Various methods for computing a detection signal and a threshold curve are studied and tested. The detection can be applied in real time to a digital data stream.
Keywords
audio signal processing; digital signals; filtering theory; impulse noise; median filters; signal detection; speech processing; detection signal; digital audio signals; digital data stream; digital speech signals; low computational complexity; median filter; missing data interpolation algorithm; nonGaussian impulsive noise detection; percussive sounds; stop-consonants; threshold based block-processing methods; threshold curve; Acoustic noise; Adaptive signal detection; Additive noise; Degradation; Electromagnetic interference; Signal detection; Signal processing; Signal restoration; Speech enhancement; Statistical analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Signal Processing, 2002. DSP 2002. 2002 14th International Conference on
Print_ISBN
0-7803-7503-3
Type
conf
DOI
10.1109/ICDSP.2002.1028251
Filename
1028251
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