Optimized Speech Compression Algorithm Based on Wavelets Techniques and its Real Time Implementation on DSP
Автор: Noureddine Aloui, Souha Bousselmi, Adnane Cherif
Журнал: International Journal of Information Technology and Computer Science(IJITCS) @ijitcs
Статья в выпуске: 3 Vol. 7, 2015 года.
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This paper presents an optimized speech compression algorithm using discrete wavelet transform, and its real time implementation on fixed-point digital signal processor (DSP). The optimized speech compression algorithm presents the advantages to ensure low complexity, low bit rate and achieve high speech coding efficiency, and this by adding a voice activity detector (VAD) module before the application of the discrete wavelet transform. The VAD module avoids the computation of the discrete wavelet coefficients during the inactive voice signal. In addition, a real-time implementation of the optimized speech compression algorithm is performed using fixed-point processor. The optimized and the original algorithms are evaluated and compared in terms of CPU time (sec), Cycle count (MCPS), Memory consumption (Ko), Compression Ratio (CR), Signal to Noise Ratio (SNR), Peak Signal to Noise Ratio (PSNR) and Normalized Root Mean Square Error (NRMSE).
Speech Compression, Discrete Wavelet Transform, Voice Activity Detection, Hardware Implementation, Digital Signal Processor, RTW
Короткий адрес: https://sciup.org/15012260
IDR: 15012260
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