计算机应用与软件Issue(3)：162-166,5.DOI:10.3969/j.issn.1000-386x.2015.03.038
基于纹理特征与随机森林的生态声音识别
ECOLOGICAL SOUNDS RECOGNITION BASED ON TEXTURE FEATURES AND RANDOM FOREST
摘要
Abstract
In light of non-stationary noises commonly existed in real environment,we present an ecological sounds recognition method which is based on texture features and random forest.The method first uses a noise estimation-based audio enhancement algorithm,i.e.the short-time spectrum estimation,to carry out the front-end processing on sound signals at input end and obtains the enhanced signal power spectrums.Then according to the texture information in these spectrums’graph it employs the sum and difference histogram to make texture features extraction.Finally,the random forest,which is an ensemble classifier based on the decision tree,is adopted for recognition and classification.In experiment part,two sets of contrast tests are designed,the results show that this method not only has good recognition performance,but is also robust to non-stationary noises.关键词
生态声音识别/短时谱估计/纹理特征/和差统计法/随机森林Key words
Ecological sounds recognition/Short-time spectrum estimation Texture features/Sum and difference histogram (SDH)/Random forest(RF)分类
信息技术与安全科学引用本文复制引用
魏静明,李应..基于纹理特征与随机森林的生态声音识别[J].计算机应用与软件,2015,(3):162-166,5.基金项目
国家自然科学基金项目 （）
