资源列表
rw_pitch
- 语音信号基音周期的提取,在说话人识别中可作为重要特征参数.也可用于语音合成.希望能对你有所帮助.-voice signal Pitch Extraction, Speaker identification can be as important parameters. can also be used for speech synthesis. The hope is to help you.
formant_loc.m
- 由matlab平台实现,是一种提取共振峰信息的有效方法.-from Matlab platform is a resonance peak extraction of information in an effective manner.
SpecSubTD
- 这是一个麦克风阵列的语音增强的matlab代码-This is a microphone array speech enhancement of the Matlab code
jiyinjiancesuanfa
- 用于DSP5509芯片的基音检测算法，其中包括I2C初始化、配置，内存初始化，基音检测算法等相关程序。-DSP5509 chip for the pitch detection algorithm, including I2C initialization, configuration, Memory Initialization and pitch detection algorithm, and other related procedures.
lpc_specgram
- 基于MATLAB语音线性预测分析报告及程序实现和语谱图实现。-linear prediction analysis and procedures to achieve and realize Spectrogram.
mfccvc
- 利用DELPHI实现的语音识别过程中MFCC特征提取的程序，每帧提取20个MFCC系数-use of voice recognition process MFCC feature extraction procedures, Each frame extraction coefficient of 20 MFCC
LSAgai
- 对数谱最小均方误差语音增强算法（LSA-MMSE），对加入有音无音判决进一步提高信噪比，消噪效果非常好。适合各种平稳噪声。-right spectrum minimum mean square error speech enhancement algorithm (LSA - MMSE). sound right to a sound judgment without further improve signal-to-noise ratio, denoising effect was very
LSAcausal
- 语音增强算法，基于LsA-MMSE方法，并对其先验信噪比估计器进行了修改，具体过程参看Isal的论文。语音间隙间的音乐噪声也消除了。-speech enhancement algorithms, based on LsA - MMSE, and signal-to-noise ratio of its prior estimate for the changes, See specific process Isal theses. Voice gap between the music also
voicedetect
- 本平台包括语音的录制、播放、保存以及情感计算等功能，您可以根据自己的需要选择选择相应的菜单。 对于语音情感计算这个模块，如果您有现成的语音文件，您可以单击打开按钮，打开您要判断的语句，然后选择相应的功能。 如果您打开的是正常语音文件，请选择清浊分辨，然后再进行特征参数和情感计算；如果您打开的是鼾声，请选择鼾声分辨，并输入您想要的判别门限，然后再进行特征参数等的计算；如果您没有选择上面两个按钮，计算出来的将是原始语音的特征参数。 由于清浊音分辨是我们语音情感计算的预处理，所以如
jingdianxiaobo
- 经典的利用小波模极大值的方法实现信号去噪的程序 保存格式为TXT.开发环境是MATLAB-classic wavelet modulus maxima of the signal denoising procedures for the preservation TXT format. Development Environment MATLAB is
zipcode
- 本程序为手写邮政编码(阿拉伯数字)识别,VC源码 -procedures for the handwritten postcode (Arabic) identification, VC FOSS
DECMMSE
- 解相关DEC和MMSE误码率曲线对比，包含LMS算法，以及硬判决-decorrelation DEC and MMSE BER curves contrast, contains LMS algorithm, and the hard decision