搜索资源列表
sign_on_line_recognize
- 模式识别中的在线签名鉴定，包括AR实现算法，DTW算法及应用实例。很好用-pattern recognition of online signature identification, including AR algorithm, DTW and application examples. Good use
dtwglcgx
- 基于DTW算法的孤立字识别系统。用Matlab编程实现语音信号的端点检测，从原始信号提取有效语音段，从而实现孤立字的识别。-isolated word recognition system. Matlab programming in endpoint detection, signal extraction from the original effective voice, thus achieving an isolated word recognition.
DTW-method
- 在线签名鉴定：DTW实现算法，用C语言编写，有一定的参考价值！-online signature verification : DTW algorithm, using C language, which is the reference value!
mydtw
- 基于MFCC算法建立的参数模型，然后用DTW算法进行模型匹配，从而实现语音识别的作用~-MFCC algorithm based on parameters established model, and model matching using DTW algorithm to achieve the role of speech recognition ~
onlineqm
- 在线签名鉴定，用AR实现算法和DTW算法实现，还包括一个比较综合的实例，对此方面研究的朋友有用处-Online signature identification, use AR to achieve algorithm and DTW algorithm, but also a more comprehensive example of this research useful friends
dtw_train
- 用标准C语言实现的基于DTW算法的特定人孤立词语音识别系统，能实现汉语数字0至9个语音发音的识别，具有很好的识别性能。-Using standard C language based on the DTW algorithm to achieve the specific words were isolated speech recognition system, to achieve Chinese figures 0-9 voice pronunciation recognition, wi
onlineqm
- 多种算法实现的C++在线签名鉴定,在线签名鉴定，用AR实现算法和DTW算法实现，还包括一个比较综合的实例，对此方面研究的朋友有用处。-A variety of algorithms to achieve the C++ online signature identification, signature identification online with AR algorithm and DTW algorithm, but also a more comprehensive example
DTW
- 在线签名鉴定，用AR实现算法和DTW算法实现，还包括一个比较综合的实例，对此方面研究的朋友有用处，这是官方书籍中附带的一个源程序。-On-line signature verification, using AR algorithm and DTW algorithm, but also includes a more comprehensive example of research in this area is useful friends, this is the official bo
mfccdtw
- 先用端点检测将语音中有用的语音部分提取出来（即将头部和尾部的静音部分除掉），然后用LPC算法提取语音信号的特征参数，进行动态归整(DTW算法)后与模板库里面的标准语音作比较，最后将识别结果进行D/A转化后播放出来。在本部分的设计中，则主要完成语音识别的模式匹配算法部分的软件实现。 -First with the endpoint detection of speech to voice some of the useful extracted from the (soon to mute som
onli_qianming
- 多种算法实现的C++在线签名鉴定,用AR实现算法和DTW算法实现，还包括一个比较综合的实例-A variety of algorithms to achieve C++ online signature verification, using AR algorithm and DTW algorithm, also includes examples of a more comprehensive
voicebox
- 本算法应用dtw算法实现语音的孤立词识别，非常好用-This algorithm implementation of algorithm DTW speech of single word recognition, is very nice
DTW
- 用DTW算法实现语音信号的特征对齐，解决了发音长短不一的模板匹配问题-Aligned with the DTW algorithm to achieve the characteristics of the speech signal, and solve the problem of template matching the pronunciation of varying lengths
dtw
- 用matlab实现特定人的单个词识别，采用dtw算法，主要用到了语音端点检测、语音分帧、梅尔倒谱系数等，文件中含有0-9个输入模版语音，作为参考模版信号。-Using matlab to achieve a specific person single word recognition, using dtw algorithm, mainly used in the voice activity detection, voice sub-frame, Mel Cepstral, etc., do
yuyin
- 用DTW算法实现的孤立词语音识别，利用语音的mfcc特征进行识别，可识别0-9十个数。使用时请改相关路径.-DTW with isolated word speech recognition algorithm, using speech recognition mfcc characteristics can be identified 0-9 ten numbers. Please change the relative path when using
Voice Discern For STM32F
- 于市售 STM32 开发板上实现特定人语音识别处理项目。识别流程是：预滤波、ADC、分帧、端点检测、预加重、加窗、特征提取、特征匹配。端点检测(VAD)采用短时幅度和短时过零率相结合。检测出有效语音后，根据人耳听觉感知特性,计算每帧语音的 Mel 频率倒谱系数(MFCC)。然后采用动态时间弯折(DTW)算法与特征模板相匹配,最终输出识别结果。先用Matlab对上述算法进行仿真，经数次试验求得算法内所需各系数的最优值。而后将算法移植到 STM32 开发板上，移植过程中根据 STM32 上存储空间相
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- 在线签名鉴定，用AR实现算法和DTW算法实现，还包括一个比较综合的实例，对此方面研究的朋友有用处，这是官方书籍中附带的一个源程序。-Online signature identification, AR implementation algorithm and DTW algorithm to achieve, but also includes a more comprehensive example of this study friends useful, this is the offi
用Matlab实现DTW孤立词识别
- 做语音识别时用到DTW 算法。便于初学者的学习。(DTW algorithm is used for speech recognition. Easy for beginners to learn.)
语音识别1
- 英文数字以及简单单词语音识别，用DTW算法实现，其中包含英文数字1-9的录音以及简单单词录音文件(Speech recognition of English numbers and words by DTW algorithm)
vdtwrecoge
- 用C++语言编写的用于实现独立词识别的DTW算法，是一个较为简单易懂的常见算法。(The DTW algorithm written in C++ language for independent word recognition is a simple and easy algorithm.)
dtw
- 可以用来实现dtw。在孤立词语音识别中，最为简单有效的方法是采用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。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。(Can be used to implement DTW)