自动检测驾驶舱录音中的报警声音

2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) Pub Date : 2009-07-11 DOI:10.1109/CASE.2009.88

Xianbo Xiao, H. Yao, Chao Guo

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引用次数: 7

摘要

座舱话音记录器中的非语音内容分析越来越受到人们的关注。本文提出了一种自动检测识别算法，能够高效、可靠地处理CVR录音中的非语音报警声音。采用频谱特征和时域形态特征作为模板分量，基于模板匹配对声音帧进行分类，并对粗糙结果进行过滤，使其符合合理性。在随机选取25条CVR记录的实验中，该算法具有较高的准确率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Automatic Detection of Alarm Sounds in Cockpit Voice Recordings

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.

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来源期刊

2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)

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