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Computationally efficient objective function for algebraic codebook optimization in ACELP

机译:Acelp中代数码本优化的计算上的有效目标函数

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Speech coding with the ACELP paradigm is based on a least squares algorithm in a perceptual domain, where the perceptual domain is specified by a filter. This article shows that the computational complexity of this conventional definition of the least squares problem can be reduced by taking into account the impact of the zero impulse response into the next frame. The proposed modification introduces a Toeplitz structure to a correlation matrix appearing in the objective function, which simplifies the structure and reduces computations. It is shown that the proposed method reduces computational complexity up to 17% without reducing perceptual quality.
机译:使用ACELP范例的语音编码基于感知域中的最小二乘算法,其中感知域由滤波器指定。本文表明,通过考虑零脉冲响应到下一帧的影响,可以减少该最小二乘问题的该传统定义的计算复杂度。所提出的修改将托普蒂茨结构引入到目标函数中出现的相关矩阵,这简化了结构并减少了计算。结果表明,该方法降低了高达17%的计算复杂性,而不会降低感知质量。

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