Superframe acoustic channel parameter multilevel vector quantization method with interstage estimation

Abstract

The invention provides an inter-stage forecasting super-frame track parameter multi-stage vector quantization method, relating to the super-frame track parameter vector quantization method and belonging to the low-speed voice compressing-coding technical field. The method is characterized in that the method improves the existing multi-stage vector quantization proposal which is based on mode and removes DC and inter-frame forecasting, and adopts selected code-vector of an upper stage to forecast the residual vector so as to obtain a forecast value in the multi-stage vector quantization process; the value to be quantized of a lower stage vector quantization is obtained by subtracting the upper-stage selected code-vector and the forecast value by the value to be quantized of the lower stage vector quantization. The test result demonstrates that the arithmetic of multi-level code inter-stage forecasting can effectively enhance the quantization accuracy of track parameter to lead the composed voice to be understood more easily compared with the non-inter-stage forecasting arithmetic. The method is suitable for the voice coding of 300b / s to 2400b / s of low-speed parameters.

Description

technical field [0001] The multi-level vector quantization method of super-frame sound channel parameters with inter-level prediction belongs to the technical field of speech coding, and in particular relates to the technology of multi-frame joint processing of low code rate parameter speech coding. Background technique [0002] Speech coding is widely used in communication systems, voice storage and playback systems, and consumer products with voice functions. In recent years, the International Telecommunication Union (ITU), some regional organizations and some countries have successively formulated a series of speech compression coding standards, and obtained satisfactory speech quality at the coding rate of 1.2kb / s to 16kb / s. At present, domestic and foreign research mainly focuses on high-quality voice compression coding at a rate below 1.2kb / s, which is mainly used for wireless communication, secure communication, and large-capacity voice storage and playback. Because ...

AI Technical Summary

Problems solved by technology

[0017] like figure 1 As shown, the original technology only removes the correlation between frames, but in the low-rate parametric speech coding technology, the quantization accuracy of each parameter, especially LSF, is very high, and only removing redundant information between frames is not enough Achieving higher quantization quality

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