Title :
Recognition of the Ambulance Siren Sound in Taiwan by the Longest Common Subsequence
Author :
Jiun-Jian Liaw ; Wen-Shen Wang ; Hung-Chi Chu ; Meng-Sian Huang ; Chuan-Pin Lu
Author_Institution :
Dept. of Inf. & Commun. Eng., Chaoyang Univ. of Technol., Taichung, Taiwan
Abstract :
This paper proposes a method to recognize the ambulance siren sound in Taiwan. Since the ambulance siren sound is composed by a high frequency and a low frequency signal, the sequence of the frequency change is used to be the feature of the sound. The input sound is divided into frames, and each frame is classified into high frequency or low frequency. The Longest Common Subsequence (LCS) is used to compare the arrangement of the frequencies in the frames. We use the results of LCS to recognize whether the sound comes from an ambulance. Real sounds are used to show the performance. According to the experimental results, the accuracy rate is 85%.
Keywords :
acoustic signal processing; audio signal processing; feature extraction; signal classification; source separation; LCS; Taiwan; ambulance siren sound recognition; frequency arrangement; frequency change sequence; high frequency signal; input sound frame classification; longest common subsequence; low frequency signal; sound feature; Educational institutions; Fires; Frequency conversion; Fuzzy logic; Noise; Roads; Vehicles; ambluance siren sound; frequence; longest common subsequence; sound recognition;
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
Conference_Location :
Manchester
DOI :
10.1109/SMC.2013.653
