Proc. SPIE. 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013)
KEYWORDS: Detection and tracking algorithms, Wavelets, Denoising, Interference (communication), Linear filtering, Detector development, Signal processing, Algorithm development, Signal detection, Information science
De-noise speech signal if it is noisy. Construct a wavelet according to Daubechies’ method, and derive a wavelet packet from the constructed scaling and wavelet functions. Decompose the noisy speech signal by wavelet packet. Develop algorithms to detect beginning and ending point of speech. Construct polynomial function for local thresholding. Apply different strategies to de-noise and compress the decomposed terminal nodes coefficients. Reconstruct the wavelet packet tree. Re-build audio file using reconstructed data and compare the effectiveness of different strategies.