基于ACELP的嵌入式语音编码算法

为实现对激励信号的精细描述,提出了一种基于ACELP模型的嵌入式语音编码算法,该算法通过逐层增加脉冲数以及采用一种新的自适应码书结构,能够保证各层编码的相对独立性以及编码器参数的最佳匹配。与以往基于ACELP模型的嵌入式编码算法相比,实现的编码器能够获得具有嵌入结构的码流,不仅能够保证核心层的合成语音质量,而且在增强层也取得了与对应速率的现有标准编码器相当的合成语音质量。

Embedded speech coding algorithm based on ACELP

In order to describe the excitation signal more precisely,an embedded speech coding algorithm based on ACELP model was proposed.By adding the number of the pulses in algebraic codebook and using an innovative adaptive codebook structure,the proposed coding algorithm was favorable for finding the best coding parameters for each layer and make different layer independent relatively.Compared to other embedded coding algorithms based on ACELP model,proposed speech coder could acquire an embedded bit stream and ensure the quality of the synthesis speech both on core layer and the enhancement layers.