Ecological Sound Recognition Based on Energy Detection Under Noise Environment

The presence of invalid sound segments leads to quickly reduce the recognition performance of the sound recognition method in the noise condition.This paper presents an anti-noise sound recognition method based on the energy detection.Energy detection method is used to detect the existence of the sound signal under the noise conditions.In addition,it extracts Mel-frequency Cepstral Coefficient(MFCC) features from the frames which are detected the presence of the sound signal by the energy detection.A Support Vector Machine(SVM) classifier uses the extracted feature vectors to train the classification model and recognizes the ecological environmental sound.Experimental results show that this method has good anti-noise ability,and the recognition rates are more than 25% higher than the system before adding the energy detection when the Signal to Noise Ratio(SNR) is less than 40 dB.