Speech Denoising Based on Empirical Mode Decomposition and Improved Thresholding

Issaoui Hadhami; Aïcha Bouzid

doi:10.1007/978-3-642-38847-7_26

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Speech Denoising Based on Empirical Mode Decomposition and Improved Thresholding

Issaoui Hadhami Aïcha Bouzid

Year: 2013 Lecture notes in computer science Pages: 200-207 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-38847-7_26

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Keywords:

Thresholding Computer science Hilbert–Huang transform White noise Speech recognition Speech enhancement Noise reduction Energy (signal processing) Artificial intelligence Noise (video) Pattern recognition (psychology) Minification Algorithm Mathematics Statistics

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Speech and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Structural Health Monitoring Techniques

Physical Sciences → Engineering → Civil and Structural Engineering

Speech Denoising Based on Empirical Mode Decomposition and Improved Thresholding

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Citation History

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