Application of Wavelet LPC Excitation Model for Speech Compression
Armein Z. R. Langi · Journal of Engineering and Technological Sciences · 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 this approach, the compression yields a signal-to-noise ratio of at least 11 dB at rates of 5 kbit/s and.