Title :
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
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;
Conference_Titel :
Control, Automation and Systems Engineering, 2009. CASE 2009. IITA International Conference on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-0-7695-3728-3
DOI :
10.1109/CASE.2009.88
