用户名: 密码: 验证码:
船舶辐射噪声分段音色特征分析
详细信息    查看官网全文
摘要
将分段音色特征用于船舶辐射噪声的特征提取中,通过语音和乐音识别领域中的研究成果确定音色特征的提取方法,实测船舶辐射噪声数据处理结果表明:分段谱质心、分段谱质心带宽、分段谱下降值及分段谱不规律性能够在一定程度上对不同类型的船舶目标进行分类。
Using the segment timbre features in feature extraction of ship radiated noise, through the achievements in the field of voice and tone to determine the timbre features extraction method. The measured data processing results show that: sub-band spectral centroid, sub-band spectral centroid bandwidth, sub-band roll-off, sub-band spectral irregularity can classify different types of ship target in a certain extent.
引文
[1]曹红丽,方世良.船舶辐射噪声的响度和音色特征模型[J].东南大学学报(自然科学版),2013,43(2):241-246.Cao Hongli,Fang Shiliang boats and ships radiated noise university of loudness and the timbre feature pattern[J].southeast journal(natural science edition),2013,43(2):241-246.
    [2]王娜,陈可安.听觉感知特征在目标识别中的应用[J].系统仿真学报,2009,21(10):3128-3132.Wang Na,Chen Kean sense of hearing perception feature is living application[J].system simulation journal in the target discrimination,21(10):3128-3132
    [3]Mc Adams S,Beauchamp J W,Meneguzzi S.Discrimination of musical instruments sounds resynthesized with simplified spectrotemporal parameters[J].JASA,1999,105(2):882-897.
    [4]Eronen A,Klapuri A.Musical instrument recognition using cepstral coefficients and temporal features[C].In Proceedings of the IEEE International Conference on Acoustics,Speech and Signal Processing,ICASSP 2000,753-756.
    [5]Brown J C,Houix O,Mc Adams S.Feature dependence in the automatic identification of musical woodwind instruments[J].JASA,2001,109(3):1064-1072.
    [6]Giulio A,Maurizio L,Emanuele P.Musical instrument timbres classification with spectral features[C].EURASIP Journal on Applied Signal Processing,2003,1:5-14.
    [7]王娜,陈克安.分段谱质心特征在水下目标识别中的应用[J].兵工学报.2009,30(2):144-149.Wang Na,Chen Kean burst is compose the application[J]war industry's journal that the centroid feature is living in the target discrimination under water.2009,30(2):144-149.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700