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dtw
- 本为主要阐述了小波变换在语音信号去噪的应用，语音端点的检测，语音特征的提取及一种简单的语音识别算法。-This is mainly expounds the wavelet transform in the application of speech signal denoising, speech endpoint detection, speech characteristics of the extraction and a si
dtdp
- 深刻理解加窗思想在语音语音信号处理的作用，掌握矩形窗、汉宁窗、哈明窗的算法。理解窗长和窗移对计算语音信号的短时过零率、短时能量、短时平均能量的影响，掌握设定合适的短时过零率阈值、短时平均能量阈值来实现语音信号端点的检测。-an implementation of double-threshold method for audio endpoint detection algorithm
Hough
- 实现Hough直线检测，标记直线的两端点坐标，再对相似的直线做曲线拟合，可以完美实现边缘连接。-Hough line detection, marking a straight line at both ends of point coordinates, similar linear curve fitting, can be the perfect realization of the edge connector.
yinduanjiance
- 能够有效实现语音端点的检测，并且确定端点内的清浊音。-An effective voice endpoint detection
61
- 提出了一种结合SVD的小波变换方法，对其在外弹道测量数据中的野值剔除进行了研究。对观测数据进行小波分解，将小波分解后的近似分量和细节分量组合实现相空间重构，作为SVD方法的输入观测矩阵，根据奇异 熵增量准则，对奇异值进行筛选，根据SVD逆变换重构原信号。这一方法克服了Hankel矩阵相空间构建方法数据 端点失真问题。以小波分解后分量重构的相空间可以满足正交性，进一步提高了SVD进行数据降噪和野值检测的精度。仿真数据和试验数据处理
CV2_Learn_LineFinder
- 使用opencv2写的，利用概率霍夫变换检测直线，并检测带有端点的线段。-Use opencv2 written using probabilistic Hough transform to detect straight line, and the line segment with endpoint detection.
hough-to-detect-corner
- 使用hough变换检测焊缝直线，再选取到端点确定为角点-Using the hough transform to detect weld line, then the endpoint identified as angular point
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
line
- hough变换检测图像中的直线可以得到检测直线的参数与首位端点。-Hough transform to detect the image of a straight line can be detected in the parameters of the line and the first endpoint.
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
vad
- 可对一段信号进行分帧加窗，利用过零率和短时能量检测语音端点(It can divide the fr a me into a window and use the zero crossing rate and short time energy to detect speech endpoints.)