搜索资源列表
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
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
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
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
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
90816794melcepst
- 梅尔倒谱系数mfcc求法的Matlab代码-Mel cepstral coefficients mfcc Method Matlab code
gongzhenfengjiance
- 基于倒谱的共振峰检测，倒谱峰值对应共振峰频率，用matlab编程实现，-Based the formant detection cepstrum, cepstral peak corresponding formant frequency, Matlab programming,
dtw
- 用matlab实现特定人的单个词识别，采用dtw算法，主要用到了语音端点检测、语音分帧、梅尔倒谱系数等，文件中含有0-9个输入模版语音，作为参考模版信号。-Using matlab to achieve a specific person single word recognition, using dtw algorithm, mainly used in the voice activity detection, voice sub-frame, Mel Cepstral, etc., do
Mel
- 应用matlab实现梅尔倒谱系数的提取，通过采用不同样本进行数据对比-Application matlab realize extract Mel cepstral pedigree data by comparing different samples
daopujuli
- 基于倒谱距离的语音信号端点检测方法的matlab程序，可以用于语音信号端点检测-Cepstral distance voice signal endpoint detection method based on the matlab program that can be used for voice signal endpoint detection
mfcc
- Matlab source code for Mel Frequency cepstral coefficient
Cepstral_Pitch_Detector
- 探测器基音周期的主要特点是使用二次cepstral峰值检波器的每一帧演讲,为了检测并纠正基音周期检测错误由于效果翻倍基音周期或减半等及相关现象。文件的4.5 Cepstral距探测器。pdf”提供了一个用户的指导对于这个练习。-This MATLAB exercise implements a pitch period detector based on detecting and tracking peaks in the (real) cepstrum during regions of v
lpc_vocoder_rev2
- 这个MATLAB构建一个锻炼LPC声码器,即,执行LPC分析和合成语音文件,导致合成语音近似原始的演讲。LPC分析使用一个标准的自相关分析来确定LPC系数的设置,一帧一帧的基础上,以及框架获得。一个独立的分析方法(cepstral螺距内检测器)把每一帧的言论是要么表示演讲(时间由cepstral峰值的位置在指定范围的音调时期)或无声的言论(模拟随机噪声帧)0帧基音周期的样本。独立的分析提供了一个两国并存的激发函数LPC合成处理的一部分,包括一系列的脉冲(表示帧期间)和/或噪声序列(在无声的帧)。
mel1
- matlab实现mel倒谱系数提取的子函数-matlab achieve mel cepstral coefficients extracted Functions
m_vgixuf
- 用MATLAB编写的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、temp函数、短时幅度差、倒谱、复倒谱temp1系数计等，是我多年调试通过的程序 -MATLAB prepared with short-term analysis of the speech signal, including: framing, short-time energy, short-term average amplitude, short-term zero rate, temp f
m_x4695j
- 用MATLAB编写的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、 Swjqlf函数、短时幅度差、倒谱、复倒谱 mSfcKbB系数计等，是我多年调试通过的程序 -MATLAB prepared with short-term analysis of the speech signal, including: framing, short-time energy, short-term average amplitude, short-term zero rate,S
m_xs6wyo
- 用MATLAB编写的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、 KPuiyk函数、短时幅度差、倒谱、复倒谱 rbUgYfE系数计等，是我多年调试通过的程序 -MATLAB prepared with short-term analysis of the speech signal, including: framing, short-time energy, short-term average amplitude, short-term zero rate,K
m_yr57ye
- 用MATLAB编写的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、 olpjad函数、短时幅度差、倒谱、复倒谱 OkrzXPY系数计等，是我多年调试通过的程序 -MATLAB prepared with short-term analysis of the speech signal, including: framing, short-time energy, short-term average amplitude, short-term zero rate,o
m_zl0rd0
- 用MATLAB编写的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、 sbdFHh函数、短时幅度差、倒谱、复倒谱 aPdzNNR系数计等，是我多年调试通过的程序 -MATLAB prepared with short-term analysis of the speech signal, including: framing, short-time energy, short-term average amplitude, short-term zero rate,s
m_zrh3dk
- 用MATLAB编写的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、 pVeUKP函数、短时幅度差、倒谱、复倒谱 GVMSLQX系数计等，是我多年调试通过的程序 -MATLAB prepared with short-term analysis of the speech signal, including: framing, short-time energy, short-term average amplitude, short-term zero rate,p