The Compression Algorithm of the S-Transform and Its Application in MFCC
2016
The S-Transform which is used in many fields, is better in the methods of time-frequency analysis. Although the S-Transform improves the time-frequency analysis, it also increases the algorithm complexity, resulting in rapidly increasing the computing time and needing more memory. Therefore, the S-Transform is difficult to be applied for real-time procession of signal. Based on the characteristics that human being is insensitive to the voice frequency resolution, in this paper, we propose a compressing algorithm of the S-transform. Through re-sampling frequency, the algorithm decreases data size, the computing time and computer memory usage in the S-transform. The application of the algorithm in MFCC analysis shows the results is reliable under the condition of re-sampling frequency resolution .
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