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matlab_builder_a9tzem
- 本人通过MATLAB编写的代码，用于图像识别和语音识别，基于端点检测和基于femIpo和pZGvlCs的孤立词识别和连续语音识别，是我的毕设代码。 -I have written the code in MATLAB for image recognition and speech recognition, endpoint detection and isolated word recognition and continuous speech recognition based onfe
detection
- 使用matlab进行语音端点的检测，使用经典的短时能量和平均过零率-Using matlab for speech endpoint detection, using the classic short-time energy and the average zero crossing rate
stezcr
- 使用matlab实现的基于短时能量和过零率的语音信号端点检测-The endpoint detection of speech signal based on short-time energy and zero crossing ratio using matlab
STM32-Speech-Recognition-Master
- 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
JLDATA
- 摘 要：本论文主要研究了语音识别的基本原理,对语音识别系统的构成进行分析处理,其中包括预处理、特征参数提取、建立模块库、识别匹配几大部分。预处理又包括语音采样、预加重、加窗（汉明窗）、端点检测；特征提取的参数是梅尔频率倒谱系数MFCC。 该语音系统采用的是动态时间伸缩算法(DTW)，研究对象是特定人的语音识别，并在MATLAB平台上实现。为了进行后续研究，首先使用电脑中的录音系统录制了阿拉伯数字0—9的语音文件，并转化成 “.wav”格式的文件。-Abstract: This thesis
vad
- 在语音识别中来完成对语音信号的端点检测以便于减少冗余-In speech recognition to complete the speech signal endpoint detection in order to facilitate the reduction of redundancy
duandian2
- matalab 编写，端点检测代码，用于语音识别方向，断电检测是一个经久不衰的课题，这个应该有用-Endpoint detection code
EndDetection
- 声纹识别,语音帧的端点检测 matlab代码-End Detection
vad
- 改程序的功能：在进行语音识别时，完成对采集到的语音信号进行端点检测-The app features: when making the speech recognition, complete the acquisition to the endpoint detection of speech signal
nnmfcc1
- 不消除静音段,即不通过端点检测,方便说话人识别之后调整语音流的特征显著图.- 37/5000 Bù xiāochú jìngyīn duàn, jí bù tōngguò duāndiǎn jiǎncè, fāngbiàn shuōhuà rén shìbié zhīhòu tiáozhěng yǔyīn liú de tèzhēng xiǎnzhù tú. Does not eliminate the silent section, that is, through the end
speech_usod
- 语音信号处理中的端点检测,用于清浊音的鉴别,必要过程-Endpoint detection of speech signal processing is used to clear in the identification of dullness, necessary process
Voice-endpoint-detection
- 语音识别检测端点也就是采集声音信号的时候，开始说话到说话结束，我们把这一段声音信号采集下来进行处理。不然那么多信号都去处理，没有声音也处理那就浪费了很多的空间以及浪费了CPU去做后续的操作。这是一段语音识别检测端点代码。-Speech recognition detection endpoint is to collect the sound signal, began to speak to the end of the speech, we put this section of the s
pointfind
- matlab实现语音信号基于mel滤波器的端点检测，并应用于一个语音文件上。-Matlab to achieve voice signal based on mel filter endpoint detection, and applied to a voice file.
mfcc
- 本文根据孤立词语音识别系统的处理步骤，从语音信号的预处理开始，分别详细说明了每个过程，比如预加重、分帧加窗和端点检测。接着介绍了特征参数MFCC的原理与选取，最后介绍了DTW算法的特点-In this paper, based on the process steps of isolated words speech recognition technology, starting with the speech signal pre-processing, each process is
calculmthondetectionand
- 语音信号端点检测仿真,内容涉及短时能量及过零率的计算-Speech signal endpoint detection simulation, the content involves the short-time energy and zero crossing rate calculation
speech_matlab
- 这是一个语音识别的代码包，资料很全，是基于动态时间规划技术的，有0到9十个数字建立的模板库，也有这是个数字的测试模板库，可以实现这十个数字的孤立词识别，再matlab实现的功能，包括几个子函数，比如端点检测，模板距离计算，完全可以运行，可以用于语音领域的初学者学习-This is a voice recognition code package, the information is very full, is based on dynamic time planning technology,
1236925
- 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-Isolated word recognition system based on DTW algorithm and Matlab programming to realize voice signal endpoint detection
detectioh
- 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(Isolated word recognition system based on DTW algorithm and Matlab programming to realize voice signal endpoint detection)
heapenqueue
- 语音信号端点检测仿真,内容涉及短时能量及过零率的计算(Speech signal endpoint detection simulation, the content involves the short-time energy and zero crossing rate calculation)
endpoint_detection
- 对传输的语音信号进行端点检测，检测出端点后可进行加窗分帧而后进行短时傅里叶变换。(After the endpoint detection of the transmitted speech signal, after detecting the endpoint, windowed sub frame can be added, and then the short-time Fu Liye transform can be carried out.)