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

fYear

2013

fDate

13-16 Oct. 2013

Firstpage

3825

Lastpage

3828

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on

Conference_Location

Manchester

Type

conf

DOI

10.1109/SMC.2013.653

Filename

6722406