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中文摘要：
为降低声码器线谱对频率（LSF）参数量化码本的存储量和码本搜索运算量,文章提出了一种基于二维DCT变换的LSF参数降维算法。相比时域重要帧抽取算法,DCT降维算法能够在不降低语音听觉性能的基础上,将LSF参数的码本量和搜索运算量都降到50%。在同等情况下,DCT降维算法能比时域重要帧抽取算法提高0.1dB到0.2dB的性能。实验结果表明,提出的算法可以更有效地解决低速率声码器中参数码本存储量和搜索运算量的问题。
英文摘要：
A dimension reduction method of LSF parameters based on DCT is proposed to decrease codebook storage and search complexity of LSF. Compared to the existing method of taking out and transmitting important frames in time domain, DCT based algorithm can decrease codebook storage and search complexity by 50%, without significant decrease of hearing performance. Tests show that average spectral distortion is reduced by about O. ldB to 0.2dB by using the algorithm in this paper instead of using method of taking out and transmitting important frames in time domain. The results verify that the DCT based algorithm can efficiently decrease codebook storage and search complexity of LSF parameters in speech codec.
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