Keywords : speech signal


Adopting Egin Value of Speech Signal in Distinguishing the Gender of the Speaker

Maysoon Khidr Al-Nuaimi

AL-Rafidain Journal of Computer Sciences and Mathematics, 2011, Volume 8, Issue 1, Pages 45-56
DOI: 10.33899/csmj.2011.163621

In this research a new approach was to represent the speech signal into two dimensional array to make it suitable for evaluating the egin value for this signal.
So many samples of speech signal for both male/female were adopted to generate a threshold for the eign value of male/female after reduce most of the high frequencies from the speech signal using  Fourier transform. Then the correlation  factor to be measured between the input signal and the threshold values for both  male and female، Then found the range of the correlation between the carve of egin value of input  signal and threshold one of both groups.
The adopted algorithm pass about 90 % of the tested samples of male and 85 % of the female.
 

Speech Files Compression Based on Signal Feature

Khalil Alsaif; Saja J. Mohammed

AL-Rafidain Journal of Computer Sciences and Mathematics, 2007, Volume 4, Issue 1, Pages 57-79
DOI: 10.33899/csmj.2007.164003

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).