计算机应用与软件2024，Vol.41Issue(7)：215-221,7.DOI:10.3969/j.issn.1000-386x.2024.07.032
一种基于能零积的改进端点检测算法
AN IMPROVED ENDPOINT DETECTION ALGORITHM BASED ON ENERGY-ZERO-PRODUCT
摘要
Abstract
To tackle the problem of the significantly reduced accuracy of the traditional endpoint detection algorithm based on short-term energy and short-term zero-crossing rate when the signal-to-noise ratio is less than 10 dB,an improved energy-zero-product endpoint detection algorithm based on the enhancement of the Sonogram feature is proposed.The spectral subtraction method was utilized to reduce the noise of the audio signal and thus improving the signal-to-noise ratio.Perform erosion,binarization and dilation were processed on the sonogram to achieve the enhancement of the spectrogram characteristics.The energy-zero-product feature was extracted and the dual-threshold endpoint detection algorithm was used to conduct endpoint detection on the audio signal.Experimental results show that the algorithm can effectively capture the fragments with ambient abnormal sound under different signal-to-noise ratio conditions,and has good robustness.关键词
端点检测/能零积/低信噪比/声谱图/特征增强Key words
Endpoint detection/Energy-zero-product/Low signal-to-noise ratio/Sonogram/Feature enhancement分类
信息技术与安全科学引用本文复制引用
韦金泉,罗丽燕,王玫,刘争红,何锐彬,莫清麟..一种基于能零积的改进端点检测算法[J].计算机应用与软件,2024,41(7):215-221,7.基金项目
国家自然科学基金项目(61771151) （61771151）
广西重点研发计划项目(桂科AB17292058) （桂科AB17292058）
广西科技基地和人才专项项目(桂科AD20159018) （桂科AD20159018）
广西自然科学基金面上项目(2020GXNSFAA159004) （2020GXNSFAA159004）
桂林电子科技大学研究生教育创新计划项目(2021YCXS024). （2021YCXS024）
