Abstract
In this study, a compression algorithm is presented for speech signals. With this compression algorithm, signals are compressed around the positive and the negative peak values of the speech signal. This algorithm compresses a speech signal by removing reproducible portions of the signal while retaining reference signal portions that are enough to reproduce the original speech signal with a very small loss in quality. Obtained compression results are evaluated visually and using the signal to noise ratio (SNR) values. SNR value is calculated to be over 29dB for a 30% compression rate. Because the method is data-dependent, SNR values can vary at the same compression rate for the different signals. The zero crossings, pitch period, and the peak values of the original speech signals are preserved. Additionally, the proposed algorithm is very efficient and there is reduced processing overhead.
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Barkana, B.D., Barkana, T. (2008). A Compression Algorithm Based on The Polarity of The Speech Signal. In: Elleithy, K. (eds) Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8735-6_24
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DOI: https://doi.org/10.1007/978-1-4020-8735-6_24
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-8734-9
Online ISBN: 978-1-4020-8735-6
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