Automatic Detection of Alarm Sounds in Cockpit Voice Recordings

Author

Xiao, Xianbo ; Yao, Hongyu ; Guo, Chao

Author_Institution

Center of Aviation Safety Technol., Civil Aviation Adm. of China, Beijing, China

fYear

2009

fDate

11-12 July 2009

Firstpage

599

Lastpage

602

Abstract

Analysis of non-speech contents in Cockpit Voice Recorder (CVR) is getting more and more attentions today. Here the author proposed an automatic detection and recognition algorithm, which deal with non-speech alarm sounds in CVR recordings with high efficiency and reliability. It employed spectrum features and time-domain morphological features as template components, classified sound frames based on template matching, and filtered the rough results to meet the rationality. In an experiment enrolling 25 randomly selected CVR recordings, efficiency of the proposed algorithm was indicated with high accuracy.

Keywords

aircraft instrumentation; speech recognition; alarm sounds automatic detection; cockpit voice recorder; cockpit voice recordings; non-speech alarm sounds; non-speech contents analysis; recognition algorithm; spectrum features; time-domain morphological features; Acoustical engineering; Aerospace engineering; Aircraft; Automatic control; Control systems; Electronic mail; Frequency; Materials testing; Signal processing algorithms; Time domain analysis; audio signal processing; cockpit voice recorder; sound recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation and Systems Engineering, 2009. CASE 2009. IITA International Conference on

Conference_Location

Zhangjiajie

Print_ISBN

978-0-7695-3728-3

Type

conf

DOI

10.1109/CASE.2009.88

Filename

5194525