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Spectrum Enhancement. Speech Processing Dec. 11, 2006 YOUNG-CHAN LEE. Spectrum enhancement. Goal : find noiseless spectrum for speech signal Regard corrupted signal consist of noise, pure signal and background noise. Same spectrum components. Equation-method(1). Spectrum enhancement.
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Spectrum Enhancement Speech Processing Dec. 11, 2006 YOUNG-CHAN LEE
Spectrum enhancement • Goal : find noiseless spectrum for speech signal • Regard corrupted signal consist of noise, pure signal and background noise. Same spectrum components
Equation-method(1) • Spectrum enhancement Global information (average) Local information (average) Estimate of background
New Equation – method-(2) • Analysis of each component and find parameters Part – 1 (Global energy) Part – 2 (local energy) Part – 3 (Background estimate) Part – 4 (Floor)
Additive Noise Suppression • Suppress noise compare to speech signal
Part - 1 • Spectrum and global energy
Part - 2 • Spectrum and local energy
Part - 3 • Spectrum and background estimate
Estimate of Background Before background estimate New background estimate
Part - 4 • Spectrum and floor
Examples • File list (used same parameters) • CCW170007_000.ulaw • CCW170007_001.ulaw • CCW170007_002.ulaw • CCW170007_003.ulaw • CCW170007_004.ulaw • CCW170007_005.ulaw • CCW170007_006.ulaw • CCW170007_007.ulaw • CCW170007_008.ulaw • CCW170007_009.ulaw
Conclusions • Global energy, local energy, background estimate greatly affected to build enhanced spectrum. • Part3 and part4 showed good spectrum estimation. • In new method, we don’t need to change parameter values according to input files.
Thank you! • Merry Christmas