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G.723语音编码介绍及优化 语音编码分成波形编码、参数编码和混合编码.波形编码就是语音信号形成的波形进行处理和加工，参数编码是以语音信号产生的数字模型为基础，求出其模型参数，然后按照这些参数还原数字模型，合成语音。混合编码是综合了波形编码和参数编码的长处，在4－16kbps的速率上进行高质量的语音合成。例如多脉冲激励线性预测编码(MPLPC),码本激励线性预测编码(CELP)都是混合编码。-G.723 speech coding and optimization of voice introd
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CELP
The most common Speech coding scheme is Code-Excited Linear Predictive (CELP) coding, which is used for example in the GSM standard. In CELP, the modelling is divided in two stages, a linear predictive stage that models the spectral envelope a
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G.729算法采用“共轭结构代数码本激励线性预测编码方案”（CS-ACELP）算法。这种算法综合了波形编码和参数编码的优点，以自适应预测编码技术为基础，采用了矢量量化、合成分析和感觉加权等技术。-G.729 algorithm " Conjugate Structure Algebraic Code Excited Linear Prediction of the coding scheme" (CS-ACELP) algorithm. This algorithm combi
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source code for PLP analysis: Predictive Linear Perceptual and RastaPLP for signal processing and signal recognition
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source code of methods of parameters extractions from audio files. MFCC: Mel Frequency Cepstrum Coefficients. LPC: Linear predictive Coefficients. LPCC:Linear predictive Cepstrum Coefficients. PLP and Rasta-PLP
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语音信号分析处理实验，主要是线性预测分析的matlab代码-Speech signal analysis and processing experiments, mainly linear predictive analysis matlab code
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