Sampling-Based Wavelet Packet Decomposition of Speech Signals
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This document describes the application of wavelet packet decomposition techniques for processing speech signals. This method decomposes speech signals into multiple hierarchical levels, with our implementation focusing on a 3-level decomposition. The analysis of decomposition coefficients at each level provides valuable insights into the characteristics and components of speech signals. Such analysis is crucial for applications including speech recognition, speech synthesis, and audio compression. The implementation typically involves using signal processing functions like wavedec() or wpdec() from toolboxes such as MATLAB's Wavelet Toolbox, where parameters including wavelet type (e.g., db4, sym8) and decomposition level must be properly configured. The resulting decomposition coefficients can be further processed for feature extraction or signal reconstruction purposes.
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