搜索资源列表
LPCC_MFCC_VAD
- MFCC特征提取算法以及语音端点检测源码-MFCC feature extraction algorithm and voice activity detection source
enframe
- 加窗技术用于端点检测技术 分析语音信号-Window technology for endpoint detection
mfcc
- 通过预处理、端点检测、mfcc的方法进行语音识别-It s about speech recognition
endpointdetecting(matlab)
- 语音端点检测,有助于除去语音信号中的噪音部分,留下有用的携带信息的部分,有利于提取其中有用的语音特征参数,从而提高识别率。-Endpoint detection, helps remove the noise part of the speech signal, leaving useful information-bearing part, is conducive to extract the speech feature useful to improve the recognition
Speechrecognitiontechnology
- 比较详尽的介绍了语音识别系统的实现过程,以及相关技术。 端点检测:基于短时能量和短时平均过零率的端点检测和基于倒谱特征的端点检测 特征参数提取:LPCC和MFCC 参数模板存储:HMM和N_Gram 识别阶段:DWT 各阶段的相关技术都给了详细的介绍,绝对是好东西!-More detailed introduction to the speech recognition system implementation process and related technologie
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
speech
- 这是一段语音识别的c++源程序,包括预处理,端点检测,线性倒谱系数,dtw算法模式匹配。-This is a speech recognition c++ source, including preprocessing, detection, linear cepstrum, dtw algorithm for pattern matching.
endpoint
- 语音端点检测程序,利用均方能量算法逐帧进行判断-Voice activity detection procedure, and use the energy mean square algorithm
Endpoindetectionspectralenhancement
- 基于端点检测的谱减法语音增强,语音的去噪算法仿真程序,可以进一步改进-Endpoint detection of the spectral subtraction based speech enhancement
edp
- 这个是端点检测的程序,用的是基于短时能量和过零率的方法,最后在语音信号的波形图上对检测到的端点进行了标注-This is the endpoint detection process, using a short-term energy and zero-based rate method, the last waveform in the speech signal detected on the endpoint to the mark
VADEndPointDetection
- 活动语音端点检测的程序,在较强背景噪音下,具有较好的效果-Voice activity detection process, under the strong background noise, with good results
endpointD
- 对于语音端点检测的编程,C++语音实现的VAD程序-Programming for speech endpoint detection, C++ implementation of the VAD program voice
11
- 为提高语音端点检测系统在低信噪(0 dB 以下) 下 检测的准确率, 提出了一种基于谱熵的端点检测算法。将每 帧信号分为16 个子带, 选取频谱分布在250~ 3. 5 kHz 并且 能量不超过该帧总能量90 的子带, 计算经过语音增强后的 子带能量以及各子带信噪比, 根据各子带信噪比的不同调整 其在整个谱熵计算过程中的权重, 然后平滑谱熵, 以最终的 谱熵作为端点检测的依据-To improve endpoint detection system in the low
Matlab
- 语音端点检测基于短时能量的Matlab程序-Speech endpoint detection based on short-time energy of the Matlab program
yuyin
- 这是一个有关语音处理的硕士论文,是对端点检测的研究-This is a relevant speech processing master thesis
speech_vad
- 利用MATLAB来实现语音的分帧及语音端点检测(Using MATLAB to achieve voice segmentation and voice endpoint detection)
vad
- 自适应端点检测。那么什么是自适应端点检测呢?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。(Adaptive endpoint detection. So what is adaptive endpoint detection? That is, when the sound signal acquisition, began to speak to the end of the speech, we collected this sound signal
double_threshold
- 传统的语音信号双门限端点检测算法,适用于高信噪比,低信噪比不适用。(The traditional double threshold detection algorithm for speech signal is suitable for high signal to noise ratio and low signal to noise ratio.)
jiance
- 可以用于一段语音信号的端点检测,并显示其起始点和终止点(Endpoint detection for a speech signal)
endpoint
- 读取语音文件,预处理,短时能量、过零率分析,进行端点检测(Read voice files, preprocessing, short time energy, zero crossing rate analysis, endpoint detection.)