摘要
研究声学测定法在小麦品质测定中的应用,利用语音信号处理技术对自制试验装置采集的小麦音频信号进行了预处理。通过MATLAB对比了几种常用的端点检测算法,利用LPCC与频带方差特征结合的方法对小麦音频信号进行端点检测,并较为准确地检测出不同品种小麦音频信号的端点,为后续的小麦声学测定和特征提取等奠定了基础。
The application of acoustic mensuration in the determination of wheat quality is studied.The audio signal of wheat which is caught by the home-made devices is pre-processed by the use of voice signal processing technology.Several commonly used endpoint detection algorithms are compared through simulating experiment of MATLAB.The start point and end point of the audio signals of wheat are detected with the method that the character of LPCC and variance of frequency band are combined,which detected the start and end point of the audio signal of different wheat comparatively accurate and provided the preparation work to the acoustic measurement and the feature extraction of wheat.
出处
《农机化研究》
北大核心
2010年第8期158-161,共4页
Journal of Agricultural Mechanization Research
基金
国家"十一五"科技支撑计划项目(2008BADA8B04)
关键词
小麦音频信号
端点检测
信号处理
特征提取
audio signal of Wheat
endpoint detection
signal processing
feature extraction
