文件名称:Efficient-LSP-quantization-algorithm
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为在极低速率下实现高质量的语音编码,提出了一
种新的有效的线谱对( LSP)参数量化算法——P-RS- MSM Q
算法。此算法以多帧联合矩阵量化作为基本框架,引入了基
于超级帧模式的均值去除和帧间预测策略、 矩阵分裂和子矩
阵多级量化策略 同时提出了基于语音帧短时谱能量的帧
内加权和基于超级帧中各子帧重要性的帧间加权策略等。-Very low rates in high-quality speech coding, a new and effective LSP (LSP) parameter quantization algorithm- P-RS-MSM Q algorithm. This algorithm to quantify the multi-fr a me as the basic fr a mework of the joint matrix, the introduction of super-fr a me model based on the mean removal and interfr a me prediction strategy, matrix splitting and multi-level quantization matrices the same time fr a me was proposed based on short-term spectrum of speech fr a me energy weighted and based on the sub-fr a me super-fr a me, the importance of inter-weighted strategies.
种新的有效的线谱对( LSP)参数量化算法——P-RS- MSM Q
算法。此算法以多帧联合矩阵量化作为基本框架,引入了基
于超级帧模式的均值去除和帧间预测策略、 矩阵分裂和子矩
阵多级量化策略 同时提出了基于语音帧短时谱能量的帧
内加权和基于超级帧中各子帧重要性的帧间加权策略等。-Very low rates in high-quality speech coding, a new and effective LSP (LSP) parameter quantization algorithm- P-RS-MSM Q algorithm. This algorithm to quantify the multi-fr a me as the basic fr a mework of the joint matrix, the introduction of super-fr a me model based on the mean removal and interfr a me prediction strategy, matrix splitting and multi-level quantization matrices the same time fr a me was proposed based on short-term spectrum of speech fr a me energy weighted and based on the sub-fr a me super-fr a me, the importance of inter-weighted strategies.
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Efficient LSP quantization algorithm.pdf