搜索资源列表
dtw
- DTW算法,比较简单。在matlab下实现的,在matlab6。5下编译通过-DTW, relatively simple. Under the Matlab, in matlab6. Compiling under through five
dtw的改进版
- dtw的改进版,菜鸟的作品,多谅解!
dtw
- dtw的matlab算法,识别率达到100 。可直接使用或转成c语言代码,下到下位机运行。-dtw' s matlab algorithm to achieve 100 recognition rate. Can be used directly or converted into c language code, run down to the lower machine.
dtw
- MATLAB扩展编程DTW算法程序,需要自己录制语音-MATLAB Extended Programming DTW algorithm program needs its own voice recording
DTW
- 基于DTW的语音情感识别!运行环境MATLAB!-Speech Emotion Recognition Based on DTW! Operating environment MATLAB!
dwt
- 基于动态时间规划(DTW)的语音信号识别,MATLAB环境下的-Dynamic Programming (DTW) of the speech signal recognition, MATLAB environment
MFCC
- m文件dtw,mfcc,vad,转换为c语言文件。用于声音检测-m file dtw, mfcc, vad, converted to c language file. For voice detection
dtw
- 语音识别,基于DTW算法的语音识别原理与实现,包含源程序,MATLAB-Speech recognition, speech recognition algorithm based on DTW Principle and Implementation, including source code, MATLAB
DTWMATLABsource
- 很好的DTW源代码,层次分明,注释详尽,很容易看懂,直接运行主程序main_speech_alignment_DTW.m 即可通过图观察DTW处理前后的波形。-DTW good source code, structured, detailed notes, it is easy to understand, can be run directly by the main program main_speech_alignment_DTW.m Figure waveform observed b
dtw
- 时间序列分析中dtw算法的matlab实现,源代码。-Time Series Analysis dtw algorithm matlab implementation, the source code.
dtw
- dtw的matlab源码 经试验好用 在matlab下-dtw' s matlab source
DTW
- DTW(Dynamic Time Warping,动态时间归整)算法,该算法基于动态规划(DP)的思想,解决了发音长短不一的模板匹配问题,是语音识别中出现较早、较为经典的一种算法。用于孤立词识别,DTW算法与HMM算法在训练阶段需要提供大量的语音数据,通过反复计算才能得到模型参数,而DTW算法的训练中几乎不需要额外的计算。所以在孤立词语音识别中,DTW算法仍然得到广泛的应用。 -DTW (Dynamic Time Warping, dynamic time warping) algorithm
dtw
- dtw code to run dtw used in speech
speech-recogniton-by-using-DTW
- train程序能进行语音模板训练,test来用识别,即模板匹配的过程,采用DTW算法,通过反复训练模板能有较高的识别率-run train.m for templats training,and test.m for templates matching by using DTW.
gait recognition with DTW PCA LDA
- code for gait recognition with DTW PCA LDA matlab
DTW语音识别
- 基于DTW的语音识别,可直接运行获得结果数据 不需要更改任何数据
DTW
- Dynamic Time Warping(DTW)诞生有一定的历史了(日本学者Itakura提出),它出现的目的也比较单纯,是一种衡量两个长度不同的时间序列的相似度的方法。应用也比较广,主要是在模板匹配中,比如说用在孤立词语音识别(识别两段语音是否表示同一个单词),手势识别,数据挖掘和信息检索等中。(The birth of Dynamic Time Warping (DTW) has a certain history (Itakura, a Japanese scholar), and it
voiceRecognition--dtw
- 语音信号说话人识别, 运用DTW算法进行说话人识别(Speaker recognition by speech signal and speaker recognition using DTW algorithm)
DTW代码
- Dynamic Time Warping(DTW)为动态时间规整算法,文件为function,test文件直接调用做测试。(dynamic time warping algorithm, file asks function, direct use)
基于DTW算法的语音识别系统
- 通过语音分帧、端点检测、特征提取、DTW算法,实现多字语音识别(Through speech segmentation, endpoint detection, feature extraction and DTW algorithm, multi word speech recognition is realized.)