Application of Wavelet LPC Excitation Model for Speech Compression

Langi, Armein Z.R. ( Research Center on Information and Communication Technology Information Technology RG, School of Electrical Engineering and Informatics Institut Teknologi Bandung, Jalan Ganeca 10, Bandung, 40116, Indonesia)

Journal of Engineering and Technological Sciences
Vol 40, No 1 (2008)

This paper presents an application of linear predictive coding (LPC) excitation wavelet models for low bit- rate, high-quality speech compression. The compression scheme exploits the model properties, especially magnitude dependent sensitivity, scale dependent sensitivity, and limited frame length. We use the wavelet model in an open-loop dither based codebook scheme. With t his approach, the compression yields a signal-to-noise ratio of at least 11 dB at rates of 5 kbit/s and.