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speech_analysis
- 这时一个语音特征提取的程序源码，除了包含矩阵运算和矢量运算外，还包含了很多语音特征的提取算法，包括：共振峰(formant)提取、基音(pitch)提取、端点(endpoint)检测、线性预测系数(LPCC)、MFCC、LSF、PLCC、EPOCH等。这是我见到的最全的语音分析源码，推荐！-Then a voice feature extraction procedures source, in addition to containing matrix and vector operation
FormantTracker(matlab)
- 检测语音信号的共振峰 ％ gender = gender_detector(X,Fs) ％ ％ This function will use a pitch detection algorithm to decide if the speaker is MALE(0) or FEMALE (1). ％ It is designed to work with short speech samples (up to or greater than 50 ms). The funct
colea
- 美国德克萨斯州大学电子工程系开发的一套进行语音分析的MATLAB程序．包括时域分析，语谱图分析，基频分析，共振峰检测等。对于语音分析会有很大的帮助
lpctoolbox_v20
- 本工具箱利用lpc方法可以准确的提取出共振峰频率，并且解决了共振峰检测时滤波器阶数对所有说话人都一样的问题。本工具箱由美国卡内基梅隆大学一位教授编写，因此所有解释均为英文原版。-The toolbox to use LPC method can extract accurate formant frequency, and the resolution of formant filter order testing of all the speaker are the same problems
my_lpc
- 线性预测（LPC）是语音信号处理中最有效的分析方法之一，通过LPC谱，LPCC谱的分析，并结合LPC检测方法判断出语音的基音周期或共振峰。我们可以利用Matlab来进行编程实现，具有实现简单，效果良好的特点-The linear predictive (LPC) is one of the most important methods in speech processing. Through the LPC spectrum, the LPCC spectrum analysis, and u
pitchdetection
- 自相关法基音检测的MATLAB代码。自相关法计算速度较快的自相关函数法检测语音的基音频率，有效剔除了高频共振峰和噪音的影响，其估计基音频率准确性高，稳定性好，运算速度较快。-CAMDF
voice_prcossing
- 语音增强，倒谱，端点检测，共振峰检测，去噪-Speech enhancement, cepstrum, endpoint detection, formant detection, denoising
dp1
- matlab实现信号的倒普函数，可以对语音信号进行分析，检测共振峰频率-matlab function of the signals S & P down, the speech signal can be analyzed to detect the resonance peak frequency
formantdetect
- 读入一段语音，进行基音检测，最后实现对这段语音的共振峰检测。-Read in a speech, pitch detection, and finally to achieve this period of speech resonance peak detection.
voice-signal-analysis--pitchaformant
- 检测录音的基音和共振峰--界面功能强大，为英文界面，VoiceSignalAnalysis为主程序-The detection recording the pitch and formant- a powerful interface to the main program interface is in English, VoiceSignalAnalysis
genderFormantTracker(matlab)
- 说话人性别识别matlab程序，基音检测、共振峰检测、GMM模型识别-Speaker sex recognition matlab program, pitch detection, formant detection, GMM model identification
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,
signal-charactar
- 基于MATLAB用于提取语音信号的特征参数如倒谱，语谱等，可以方便的检测出语音信号的基频，共振峰。-Cepstrum based on MATLAB is used to extract the characteristics of the speech signal parameters such as language spectrum, can easily detect the speech signal fundamental frequency, formant.
yuyinxinhaochuli
- 语音处理是信号与信息处理的重要内容之一，通过本课程设计，使学生理解数字信号处 理的有关理论和方法在语音处理中的具体应用。课程设计的目的归纳如下： 1、掌握语音信号的特点； 2、掌握语音处理的基本理论和方法； 3、掌握基于Matlab编程实现语音的获取、显示、频谱分析、短时能量、短时自相关以及倒 谱复倒谱的分析方法； 4、掌握语音基音频率及共振峰频率的检测方法。-Signal and speech processing is an important part of inf
formant
- 共振峰检测的MATLAB实现，-Autocorrelation pitch detection method using MATLAB, using Hamming window treatment
9MATLABCHULIXIN
- 第9章共振峰的估算方法259 9.1预加重和端点检测259 9.1.1预加重259 9.1.2端点检测260 9.2倒谱法对共振峰的估算260 9.2.1倒谱法共振峰估算的原理260 9.2.2倒谱法共振峰估算的MATLAB程序261 9.3LPC法对共振峰的估算262 9.3.1LPC法共振峰估算的原理262 9.3.2LPC内插法共振峰的估算263 9.3.3LPC求根法共振峰的估算266 9.4连续语音LPC法共振峰的检测268 9.4.1简
jiance
- 用于对语音信号的共振峰进行检测，从而进行语音识别或语音合成。-For formant speech signal is detected, thereby performing a voice recognition or voice synthesis.
daopu
- 利用倒谱法对时域信号进行信号基音检测和共振峰测试-Signal detection and resonance test of time domain signal are carried out by using cepstrum method
源代码
- 用倒谱法求基因周期，先计算倒谱，在预期的基因周期附近寻找峰值。 用倒谱法进行共振峰检测(Using cepstrum to find the gene cycle Formant detection using cepstrum method)
formantdetect
- 实现共振峰检测的MATLAb程序：分帧加窗；|FFT|；log；IFFT；log；平滑处理(MATLAb program for realization of resonance peak detection Frame windowing; |FFT|; log; IFFT; log; smoothing processing)