Efficient Quantization of LSF Parameters Based on Temporal Decomposition

In this paper, we present a restricted temporal decomposition method for LSF parameters. The event vectors estimated by this method preserve the ordering property of LSF parameters so that they can be quantized efficiently. Experimental results show that interpolated LSF parameters can be quantized transparently at the rate of 753 bps. We also design a LPC vocoder at 996 bps as an application of the proposed method. According to a listening test, the reconstructed speech of our vocoder has reasonable quality compared with 2400 bps LPC10e. 1. INTRODUCTION The temporal decomposition is a method of speech coding which decomposes a given vector trajectory into a set of temporally overlapping event functions and corresponding event vectors [1,2,3]. The original temporal decomposition assumes that each event is a superposed component of the given vector trajectory [1], so the distribution of the estimated event vectors is different from that of the given vector trajectory. In case of LAR o..