)jPOviEbyw
QLDtLyV[Gb}GDwb}LD"wwi8A}4K5睼ovm&&^tnzMtmd=]6]uv^=tuI`M4=zʹ6wi]0P]]]umwiEby9_駏mvߏ6BBaHM#VL ]vS$^'㞿9Eby/}?6Buowv0PxEby8箼8EbyiԲe`
ب}歺rبjvȬ~qޱ&z{Z*'jw\,jبƝzh>^}ʹn`4bC DDBH$@4AHnw*'}歺r+')춻z{\,jبDj{rب'K+-zkjvt,z6O7n6wdp
vQ4jP'jb{kib{mv-]y&"*'zڶ*'jPzwp.v*jx.j&jȧm5} 9!0Rkibz}歺yh譩ڗ+"ȜjX'jبBwޭzvq"I^r',
xjبʹם۽zy'm45u_駣"v]}w^6{
ky"http://www.performandhealth.com/t/daxue/" target="_blank" class="keylink">大学,2014:31-43.
[8] 郅逍遥,李临生,郭哲喆,等.基于相空间和柔性神经树的乐器分类[J].计算机工程与应用,2015,32(2):159-162.
[9] 华斌,张丽超,赵富强.基于加权MFCC的音频检索[J].计算机工程与应用,2015,51(8):200-204.
[10] SENAN N,IBRAHIM R,MOHD N NAWI,et al.Feature Extraction for traditional malay musical instruments classification system[C].2009 International Conference of Soft Computing and Pattern Recognition.2009:454-459.
[11] LASHARI S,IBRAHIM R,SENAN N.Soft set theory for automatic classification of traditional pakistani musical instruments sounds[C]. 2012 International Conference on Computer and Information Science,2012:94-99.
[12] 胡耀文,孙俊,方芳,等.基于BP神经网络的接收信号强度的检测方法[J].云南大学学报,2017,39(4):534-538.
[13] 黄莉莉,汤进,孙登第,等.基于多标签ReliefF的特征选择算法[J].计算机应用,2012,32(10):2888-2890.
[14] BENETOS E,KOTTI M,KOTROPOULUS C.Musical Instrument Classification using non-negative matrix factorization algorithms and subset feature selection[C].IEEE International Conference on Acoustics, Speech and Signal Processing.2006.
[15] ERONEN A.Comparison of features for musical instrument recognition[C].IEEE Workshop on the Applications of Signal Processing to Audio and Acoustics,2002:19-22.
[16] LIU M,WAN C.Feature selection for automatic classification of musical instrument sounds[C].ACM/IEEE-CS Joint Conference on Digital Libraries,2001:247-248.
(責任编辑:杜能钢)
相关热词搜索: 乐器 特征 音频 研究 分类