Compression of Speech Signals using Kronecker Enhanced Compressive Sensing Method

The advancement of cellular and internet technologies demands more efficient ways of speech compression. The characteristics of speech allows it to be compressed at a higher rate than an unknown audio signal. The speech signal starts by the deflation of the lungs which vibrates the vocal cords. The vibrating air then passes through the Pharyngeal cavity into the nasal and oral cavity. At each step the signal is distorted and shaped into the final signal that is recognized as speech. The semi-periodic nature of speech guarantees a sparse representation of the signal. CS depends on the sparsity of the signal to perform compression. The compression phase of this method is relatively fast making it applicable in many fields. Enhancing this method with Kronecker technique improves the accuracy even further. The goal of this study is to apply one of the novel CS methods for compression of clean speech signals and compare the results with the Kronecker enhanced version.

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