Title :
Methods for detecting impulsive noise in speech and audio signals
Author_Institution :
Dept. of Phys., Turku Univ., Finland
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;
Conference_Titel :
Digital Signal Processing, 2002. DSP 2002. 2002 14th International Conference on
Print_ISBN :
0-7803-7503-3
DOI :
10.1109/ICDSP.2002.1028251
