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weimin
- 读取语音信号（用matlab的wavread指令），把语音信号分帧、加窗，进行清浊分割，提取基 频，这一部分较简单，自己编程序做。参考文献自己到图书馆期刊网上查找。 提取语音信号的lpc参数，可调用lpcfit.m 程序（我提供，见附件），将源、目标语音的浊音 段的lpc系数进行DTW规整，调用pathita2.m 程序（我提供，见附件）。将规整得到的lpc系数 转换成lsp参数，调用lpcar2ls.m 程序（我提供，见附件）， 再进行转换映射，调用matlab 的指令ne
LPC
- 基于线性预测系数(LPC)的语音信号重构。给出了完整的LPC matlab程序，包括语音信号采集，LP预测系数，阶数的选择以及预测结果误差曲线。（很好用）-Based on the linear prediction coefficient (LPC) voice signal reconstruction. Given a complete LPC matlab procedures, including voice signal acquisition, LP prediction coef
lpc
- 功能：计算lpc系数由lpc得到lpcc，对模板参数和样本参数进行dtw比较 -Function: lpc coefficient calculated by the lpc be lpcc, samples of the template parameters and parameters of Comparative dtw
lpc
- linear prediction code is well known for speech coding method. this program use autocorrelation method for computing coefficient.-linear prediction code is well known for speech coding method. this program use autocorrelation method for computing coe
lpc
- 利用matlab实现语音的lpc特征提取，可以加入语音后直接使用，仿真图中对特征系数、误差等分析清晰有效-Using the lpc matlab voice feature extraction, can be added directly after the speech, the simulation graph of the characteristic coefficient of error so clear and effective
Speech-signal-short-time-analysis
- 详细说明：语音信号的短时分析，主要包括：分帧、短时能量、短时平均幅度、短时过零率、短时自相关函数、短时幅度差、倒谱、复倒谱、lpc系数、lpc谱估计等 绝对保证质量，是保研后导师布置的一些基础程序-Details: short-time speech signal analysis, including: framing, short-term energy, short-term average rate, short-time zero crossing rate, short-time a
lpc0001
- lpc参数分析。对给定语音信号进行lpc参数估计。从而得到反馈系数。-lpc parameters of analysis. Given speech signal lpc estimation. To get feedback coefficient.
cepstrum_coeffi
- lpc to cepstral coefficient
wav_handle
- c语言写的wav音频文件简单处理函数源码，包括wav_io处理，提取lpc系数、plar系数，可用于语音识别和合成中。可直接调用。-wav audio files simple c language handler source, including wav_io processing, extraction lpc coefficient plar coefficient, can be used for speech recognition and synthesis. Can be cal
XINGXINGYUCED2
- 这个程序再matlab2012b版本上调试成功，以前在毕业设计的时候在网上找到的资料，希望对大家有用，基于线性预测系数(LPC)的语音信号重构。给出了完整的LPC matlab程序，包括语音信号采集，LP预测系数，阶数的选择以及预测结果误差曲线。（很好用）-This version of the program and then on the successful commissioning matlab2012b information previously graduation when f
voice-signal-processing
- 用自相关法求使信号s均方预测误差为最小的预测系数 已知语音文件求出其LPC系数后，调用a_lsf_conversion.m函数求其对应的LSF 求连续20帧语音的16阶ISF轨迹图-Request by autocorrelation of the signal s mean square prediction error is minimized prediction coefficient Known voice file LPC coefficients obtained its cal
libogg
- 首先对输入音频PCM信号进行时频分析，决定MDCT的长度，即加窗，然后进行MDCT变换；同时对原始音频信号要进行FFT分析。两种变换的频谱系输入给心理声学模型单元，MDCT系数用于噪声掩蔽计算，H可结果用于音调掩蔽特性计算，共同构造总的掩蔽曲线。然后根据MDCT系数及掩蔽曲线，对频谱系数进行线性预测分析用LPC(Linear Prediction Coefficience，线性预测系数)表示频谱包络，即基底曲线(Floor Curve)；或通过线性分段逼近方式获得基底曲线。从MDCT系数中去掉
lpc_coefficients
- 用于求解LPC系数的方法 简单 稳定-The method used to solve the LPC coefficient is simple and stable
LPCLSF
- 已知语音文件求出其LPC系数后，通过matlab语言求其对应的LSF。-Known speech file to find its LPC coefficient, through the matlab language for its corresponding LSF.
matlab
- 语音信号的短时分析，主要包括：分帧、短时能量、短时平均幅度、短时过零率、短时自相关函数、短时幅度差、倒谱、复倒谱、lpc系数、lpc谱估计等(The short-time analysis of speech signal mainly includes: frame, short-time energy, short time average amplitude, short-time zero crossing rate, short-time autocorrelation functio
LPCC
- 线性预测倒谱系数（Linear Prediction Cepstrum Coefficient,LPCC）是线性预测系数（Linear Prediction Coefficient,LPC）在倒谱域中的表示。该特征是基于语音信号为自回归信号的值设，利用线性预测分析获得倒谱系数。(Linear Prediction Cepstrum Coefficient)