资源列表
01630223
- on speech procesing project related to endpoint detection and a-on speech procesing project related to endpoint detection and all
improved_SpectralSbutract
- 基于matlab的谱减算法的改进，仿真效果显示语音增强效果优于传统方法。-Matlab-based algorithm to improve the spectral reduction, speech enhancement simulation results show better than traditional methods.
kalman_speechenhancement
- 卡尔曼滤波程序实现语音增强算法，在Matlab上程序实现了该算法-Program for Kalman filtering speech enhancement algorithm in Matlab program implements the algorithm on
LMS_speech_enhancement
- 运用自适应滤波算法实现的语音增强Matlab程序，附带带噪语音，在M文件中自己修改文件名即可使用-The use of adaptive filtering algorithm for speech enhancement Matlab program, with noisy speech, changes in the M file, the file name to use their own
spectral_subtraction
- 谱减算法的MATLAB实现程序，附带带噪语音文件。wavread一行可以改成自己需要的语音文件和噪声文件，可以查看输入和输出信噪比-MATLAB spectral subtraction algorithm implementation process, with noisy speech files. wavread line can be changed to their needs and noise files voice files, you can view the input an
Speech_recognition
- 使用sapi控件开发的语音识别 编写有自己的词典 识别较为准确-Use sapi control development of speech recognition has his own dictionary compilation Recognition is more accurate
ROBOTsystem
- 本程序是基于模板匹配的语音识别技术。提取语音的特征，并建立模板库。可以将语音识别技术应用于机器人-This procedure is based on template matching speech recognition technology. Feature extraction of speech and the establishment of the template library. Speech recognition technology can be used for rob
yuyinbaojine
- 语音识别金额 多少元，多少斤，千克 等-How many dollars the amount of speech recognition, the number of pounds, kilograms, etc.
lpcc
- 语音处理中的提取LPCC特征值程序，希望对初学者有帮助。-LPCC Speech Processing eigenvalue extraction process, hoping to help beginners.
window
- 程序包含了语音处理中加窗函数的过程，包括了多种窗函数，实验有效。-Voice processing program includes the process of adding the window function, including a variety of window function, experimental effective.
sphinxbase-0.6.1.tar
- 语音识别,C++代码,可很好的执行,大家可以用用看-speech recognition
19_M-W-K-D-D_SPA2010_final
- This paper presents results of speaker recognition experiments using short Polish sentences. We developed and analyzed various vector quantization representations in order to first maximize identification effectiveness and second to compare VQ (vecto