基于MFCC-DTW的两阶段归一化语音检测的评价

Alexandru-George Rusu, Radu-Sebastian Marinescu, C. Burileanu, Dumitru Bica
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引用次数: 0

摘要

在空中交通管制中,来自不同飞机的未被检测到的同步传输代表着严重的安全风险。在本文中,我们通过一种语音分析算法来解决这个问题,该算法结合了传统的Mel频率倒谱系数提取,一种新的两阶段归一化和广泛使用的动态时间翘曲。通过这种方式,我们可以扩展空中交通管制话音通讯系统的同步语音检测功能。结果表明,该实现方法适合实际应用。
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Evaluation of Simultaneous Speech Detection Based on MFCC-DTW with Two-Stage Normalization
In Air Traffic Control a serious safety risk is represented by undetected simultaneous transmissions from different airplanes. In this paper, we approach this issue through a speech analysis algorithm, which combines traditional Mel Frequency Cepstral Coefficients extraction, a new two-stage normalization and widely used Dynamic Time Warping. In this way, we were able to extend the simultaneous speech detection capability in Voice Communication Systems of Air Traffic Control. The results prove that this implementation is suitable for practical applications.
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