搜索资源列表
lpcc
- 用MATLAB开发的语音识别中语音特征提取方法之一LPCC(线性预测倒谱系数）。-A MATLAB program for speech signal recognition using LPCC (Linear Predictive Cepstral Coding) one of the method for the pick up of speech character
lpcc
- 提取线性预测倒谱系数的matlab程序，使用的是自相关法-Linear prediction cepstral coefficients extracted the matlab program, using the autocorrelation
lpc
- matlab 求线性倒谱系数,用于语音识别-matlab linear cepstral coefficients for speech recognition
cepstrum
- 求出语音信号的倒谱以便于进一步对语音信号作进一步的分析处理，分析信号的特性。-Derived Cepstral voice signal in order to facilitate further speech signal processing for further analysis, analysis of signal characteristics.
lpccfeatureextraction
- 倒谱系数作为特征提取方法，数据采用的是麻省理工的PAF数据，提取出的特征属性具有较好的分类性能-Cepstral coefficients as feature extraction methods, data used by the PAF are the Massachusetts data, extracted features of the property has good classification performance
MFCC
- MFCC (Mel Frequent Cepstral Coefficient) in M-File. epresentation of the short-term power spectrum of a sound, based on a linear cosine transform of a log power spectrum on a nonlinear mel scale of frequency. MFCCs derived as follows: 1. Ta
Cepstrum
- 对语音信号进行倒谱分析，产生信号图形和倒谱图形-Voice signals on cepstral analysis, signal graphics and graphics cepstrum
Speech_Test
- In this project we have processed the speech signal with the help of the DIGITAL SIGNAL PROCESSING techniques. The speech signal is given as the input will be verified using speech recognition technique using matlab. We have used Mel Frequency Cepstr
mfccandvc
- 文章介绍的说话人识别系统，采用能够反映人对语音的感知特性的9(:频率倒谱系数（9(: <+(=>(2/?8(’0+): 81(..-/-(20@，9<88）作为特征参数，同时考虑到特征参数各维分量对于不同说话人的区分程度，采用加权的办法进行矢 量量化。-This paper introduces the speaker recognition system used to reflect the people s perception of voice characte
melmfcc
- 从说话人的语音信号中提取说话人的个性特征是声纹识别的关键。主要介绍语音信号特征提取方法中的Mel倒谱系数 -From the speaker s voice signal to extract the speaker s personality traits is the key to Voiceprint identification. Mainly introduces the speech signal feature extraction method in Mel cepstral
mfcc
- 一些有用的MATLAB编写的MFCC算法的代码。-Some useful codes for Mel-Frequency Cepstral Coefficients Algorithm, Writed by Matlab.
matlab_mfcc
- 音频mfcc 参数计算 用于计算语音信号的Mel倒谱系数-Audio mfcc parameter calculation used to calculate the speech signal Mel cepstral
mfcc
- 提取LPC参数进行，倒谱系数的计算，用于静音检测算法，-Extract LPC parameters, the calculation of cepstral coefficients for mute detection algorithm
modelbasedonspectrumprediction
- 文章展示了基于高斯混合模型的语音频谱预测方法。频谱预测可能在传包过程中预防丢包这方面起到大作用。期望最大化算法用两倍或三倍的连续语音因素来测试模型。模型被用来设计第一，儿等指令预测量。预测表用频谱分配状态来估计并和一个简单的参考模型对比。最好的预测表得到一个平均频率扭曲值是0.46dB小于参考模型-This paper presents methods for speech spectrum prediction based on Gaussian mixture models. Spec
VQ-pattern-recognition
- VQ声纹识别算法和实验. 摘要：采用线性预测倒谱系数(1inear prediction cepstrum coefficient，LPCC)作为语音的特征参数，矢量量化(vector quantity，VQ)方法进行模式匹配，探讨声纹识别以实现身份认证，并对此识别方法进行了相关的实验．通过验证，这种方法可以区分不同的说话人，并且在做说话人辨认实验时可达到较高的识别率．-VQ pattern recognition algorithms and experimental sound. Ab
duanshi-daopu-yupu
- matlab环境下实现语音预处理 包括语谱图 倒谱系数 短时频谱的画图-voice pretreatment Matlab environment, including spectrogram drawing of the short-time spectral cepstral coefficients
I9(2)
- MATLAB program for speech signal recognition using lpcc (Linear Predictive Cepstral Coding) one of the method for the pick up of speech character.
aa
- 用matlab编写的代码在音频中mel倒谱系数提取-Code written using matlab audio mel cepstral coefficients extracted
matlab
- 该文件代码可以在MATLAB环境下适用于语音智能识别，使用倒谱系数法-The code of the file in the MATLAB environment suitable for voice intelligent recognition using cepstral coefficients method