首页> 外文会议>Electrical and Computer Engineering, 2009. CCECE '09 >Low-complexity encoding of speech lsf parameters using multistage tree-structured vector quantization: Application to the MELP coder
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Low-complexity encoding of speech lsf parameters using multistage tree-structured vector quantization: Application to the MELP coder

机译:使用多级树结构矢量量化对语音lsf参数进行低复杂度编码:在MELP编码器中的应用

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摘要

A fast search procedure to reduce the search complexity required to locate the codevectors during the encoding process in multistage tree-structured vector quantization (MTVQ) is proposed. Quantization of line spectral frequency (LSF) parameters at different rates is used to provide experimental results, which are compared to the multipath sequential search or M-L search (MSS) and the multipath sequential tree-assisted search (MSTS). The Federal standard MELP coder is modified by replacing the original LSF quantizer with an MTVQ using the proposed fast search procedure, and an evaluation of the produced speech quality is given.
机译:提出了一种快速搜索程序,以减少在多级树结构矢量量化(MTVQ)的编码过程中定位代码矢量所需的搜索复杂性。使用不同速率的线频谱频率(LSF)参数进行量化可提供实验结果,并将其与多路径顺序搜索或M-L搜索(MSS)和多路径顺序树辅助搜索(MSTS)进行比较。通过使用提议的快速搜索程序将原来的LSF量化器替换为MTVQ,可以修改联邦标准MELP编码器,并对产生的语音质量进行评估。

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