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lpcrr2am
- 用MATLAB来实现声音信号处理的函数程序的源代码。-MATLAB to achieve voice signal processing function of a program's source code.
midi2frq
- 用MATLAB来实现声音信号处理的函数程序的源代码-MATLAB to achieve voice signal processing function of a program's source code
readcnx
- 用MATLAB来实现声音信号处理的函数程序的源代码-MATLAB to achieve voice signal processing function of a program's source code
writehtk
- 用MATLAB来实现声音信号处理的函数程序的源代码-MATLAB to achieve voice signal processing function of a program's source code
waveform toolbox
- 语音波形matlab工具箱。 Add toolbox folder to MATLAB s path Type main in the command window-Wave form tool kit for MATLAB. Add toolbox folder to MATLAB s path Type main in the command window
mpsound
- 录制一段个人自己的语音信号。对录制的信号进行采样；画出采样后语音信号的时域波形和频谱图；对语音信号进行加噪和去噪处理，画出滤波后信号的时域波形和频谱，并对滤波前后的信号进行对比，分析信号的变化；回放语音信号；实现快录慢放、慢录快放等功能。-Record a person' s own voice signal. Of the recorded signal sampling draw sample after the speech signal time-domain waveform
SpeakerRecognition
- Speaker Recognition by training GMM models for the speakers in the system. Also tells if there s an impostor in the system.
FERETpca
- Speech recognition (also known as automatic speech recognition or computer speech recognition) converts spoken words to text. The term "voice recognition" is sometimes used to refer to speech recognition where the recognition system is trained to a p
coleawin_Matlab_Speech_Analysis
- 波形和频谱双显示 记录讲话直接进入MATLAB 手动分割讲话波形-创建标签文件 波形编辑-切割，复制或粘贴 共振峰分析-显示共振轨道的F1 ， F2和F3 基音分析 过滤工具-语音信号滤波器截止频率 比较工具-比较两个波形的频谱距离使用几种措施 增加噪声-Dual time-waveform and spectrogram displays Records speech directly into MATLAB NEW Displays time-a
herbordt2003
- Herbordt, W. Nakamura, S. & llermann, W. Multichannel estimation of the power spectral density of noise for mixtures of nonstationary signals IPSJ SIG Technical Reports, 2004 ,131 ,211 - 216-Herbordt, W. Nakamura, S. & llermann, W. Multichannel esti
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
speakerrecognization
- 摘要说话人识别在自动身份鉴别方面具有重要的现实意义。文章在分析了说话人识别实现的可行性基础上*提 出采用长时线性预测倒谱 +,--.,)系数和矢量量化 /0)模型的不依赖于文本的说话人识别方法，并成功地应用于 一个数据库查询系统中。-65DL5<?E5=7?9?AD7?8=CDH H?>=?9?AD=7 D66@?AD7?8=H?=D 78:D7?A?=E?G?E D@<5A8>=?7?8=D<5D#M=7C?H 6D65<* 7C5 68HH?N
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
colorDetection
- The provided Matlab functions demonstrate a simple method for training and testing a color detection system. In general, a color detection algorithm searches an image for pixels that have a specific color. In this demo the HSV color space has been us
melp-MATLAB
- 本代码是基于matlab实现的melp算法，编码速率为2.4kb/s-This code is based on the matlab implementation melp algorithms, coding rate of 2.4kb/s
BasedonMATLABspeechsignalspectrumanalysisandfilter
- 录制一段个人自己的语音信号，并对录制的信号进行采样；画出采样后语音信号的时域波形和频谱图；给定滤波器的性能指标，采用窗函数法和双线性变换设计滤波器，并画出滤波器的频率响应；然后用自己设计的滤波器对采集的信号进行滤波，画出滤波后信号的时域波形和频谱，并对滤波前后的信号进行对比，分析信号的变化；回放语音信号-The individual' s own record a voice signal, and the recorded signal is sampled draw sampled
Speech Encoding - Frequency Analysis MATLAB
- The speech signal for the particular isolated word can be viewed as the one generated using the sequential generating probabilistic model known as hidden Markov model (HMM). Consider there are n states in the HMM. The particular isolated speech sig
4
- can you guess what's happening in this code
MATLAB在语音信号分析和合成中的应用》附件
- 这是非常有用的语音信号处理的代码资源，是书《matlab在语音信号分析与合成中的应用》的代码，整理的非常仔细，如何使用都有说明书。非常有价值。(This is a very useful code resource for speech signal processing. It is the code for the application of MATLAB in speech signal analysis and synthesis. It is very careful and has
speech_emotion_experiment
- 基于SVM的语音情感识别，可以从用户的话语中识别愤怒、开心、快乐、悲伤等情感(SVM-based speech emotion recognition, which can identify emotions such as anger, happiness, happiness, sadness, etc. from the user's words.)