A New Architecture Model for Multi Pulse Linear Predictive Coder for Low-Bit-Rate Speech Coding

Ibrahim M. Mansour, Samer J. Al-Abed

Abstract


Speech coding is a very important area that finds civilian and military applications. It deals with the problem of reducing the bit rate required for the speech representation while preserving the quality of the speech which reconstructed from that representation.
In this paper, we focused on developing algorithms and methods for a waveform speech coder operating at low bit rate with high quality reconstructed speech signal. Therefore, a new model for linear predictive coding of speech that can be used to produce high quality speech at low data rate is introduced. In this model, the residual (excitation signal) encoding is based on selecting the important pulses in the residual signal rather than encoding all pulses. Hence, this vocoder forms an excitation sequence which consists of multiple non-uniformly spaced pulses. During analysis, both the amplitude and location of the pulses are determined. In addition, this paper involves new techniques in the process of modeling and encoding of the amplitude and location of each pulse as well as linear prediction parameters.

Keywords


Linear Predictive Coding, speech analysis, speech coding.

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