Speech Files Compression Based on Signal Feature | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 12, Volume 4, Issue 1, June 2007, Pages 57-79 PDF (616.32 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2007.164003 | ||
| Authors | ||
| Khalil Alsaif1; Saja J. Mohammed2 | ||
| 1college of computer science and mathmatic/mosul university | ||
| 2University of Mosul/ College of Computer Science and Mathematics | ||
| Abstract | ||
| In this research a new algorithm was suggested for compressing speech files added a new style for storing signals, The suggested idea of compression begins with recording the speech via the microphone, then starting the proposed processing steps as follows : Removing silent period. Select the number of resulted signal samples. Segmenting the resulting signal to number of frames. Applying one of the curves fitting algorithms and obtaining the coefficients for the mathematical representation. Storing the results in a new file format with .ssc (Speech Signal Compression) extension. While the decompression process consisted of the reversal compression process steps, the signal is reconstructed using curve fitting coefficients which were stored in the new file, followed by returning the selected sample, then returning the silent period to their original location and finally listening to the retrieved speech signal. When the proposed algorithm had been applied on the files with different speech contents, the compression ratio was approximately (16.283%), and the ratio of SEGSNR was approximately (25.195dB). | ||
| Keywords | ||
| Compression; speech signal; feature extraction; Silent Period | ||
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