搜索资源列表
检测语音信号
- 语音的端点检测要用短时平均能量来检测 语音特征的提取要用13阶的lpc 模式匹配要用欧氏距离。
matlab
- 语音识别预处理matlab实现，包括端点检测，预加重，加窗-Speech recognition pre matlab implementation, including endpoint detection, pre-emphasis, windowing
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
EndPoint
- 语音端点检测,刚打了飞机的考拉法国大的放大范德萨发(voice endpoint by c++,coiodjogj;agldfhkgk;alfjdo;ashkgdf)
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)
matlab
- 用于基本的语音分析，包含端点检测，谱减法。(Used for basic speech analysis)
pr6_4_4
- 利用小波包BARK子带方差法对bluesky.wav进行端点检测(Using wavelet packet bark sub-band variance method for endpoint detection of bluesky.wav)
vad
- 读入bluesky.wav数据，用vad函数进行有话帧和无话帧检测，最后进行端点检测(Read into the bluesky.wav data, using VAD function for frame and no frame detection, and finally the endpoint detection)
daopu
- 读入bluesky.wav数据，用倒谱距离法进行端点检测(Read into bluesky.wav data, and use cepstrum distance method for 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.)
mfcc
- 语音端点检测,利用梅尔频率和谱熵进行的语音端点检测(voice activity detection)