Translated Title
ECOLOGICAL SOUNDS RECOGNITION BASED ON TEXTURE FEATURES AND RANDOM FOREST
Translated 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.
Translated Keyword
Ecological sounds recognition
Random forest(RF)
Short-time spectrum estimation Texture features
Sum and difference histogram (SDH)
Access Number
WF:perioarticaljsjyyyrj201503039
