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GEO GRAPHICAL VARIA TION O F BI RD SON G
AND I TS TAXONOMICAL SENSE
L EI Fu2Min
( Instit ute of Zoology , the Chinese Academy of Sciences , Beijing 100080)
Abs t r act
Bi rd song as one of the most important features is now a new discipline integrated by Avi2be2
havior and Acoustic. With the development of modern recording and sonagrap h technology ,stud2
ies on bi rd song have stepped into various areas of bi rd researches . Geograp hic variation of bi rd
song ,sometimes called“dialect”, has species2specific stability and individuality. It is closely relat2
ed with pop ulation genetic st ructure ,envi ronment heterogeneity and song learning. Dialect consid2
ered partially as bar riers to dispersal could hind the gene drif t , and thus interfere the gene pool of
pop ulation. Long time geograp hic isolation and breeding isolation might lead to the p roduce and
differenciation of local pop ulation (or subspecies) and might affect the speciation. The paper sim2
ply int roduced the geograp hic variation of bi rd song studied in the world cur rently , the basic defi2
nition and biology of bi rd song dialect , the effect on pop ulation song st ructure by habitats , the
origin and maintenance as well as the development of song dialect , the reationship between song
dialect and genetic pop ulation st ructure and its taxonomical sense and so on.
Ke y wor ds bi rd song ,geograp hical variation , dialect , taxonomy.
24 0 动 物 分 类 学 报 24 卷
第33 卷第1 期
2010 年3 月
辽宁师范大学学报(自然科学版)
Journal of Liaoning Normal University (Natural Science Edition)
Vol . 33 No. 1
Mar. 2010
文章编号:100021735 (2010) 0120108204
鸟鸣叫声特征提取方法的研究
伟利国1 , 张小超1 , 吴文彪2
(1. 中国农业机械化科学研究院,北京 100083 ; 2. 国家农业信息化工程技术研究中心,北京 100097)
摘 要:鸟鸣叫声的研究和分析方法对开展鸟类学工作有极其重要的作用. 通过对鸟鸣叫声进行功率谱分析、声谱分
析、Mel 倒谱分析和主成分分析,从而对鸟鸣叫声特征参数进行提取,为鸟鸣叫声的个体识别以及鸣叫声与鸟类行为
的关系研究提供了有力的技术支持.
关键词:鸟鸣声;声谱;Mel 倒谱;主成分分析
中图分类号: TN912 文献标识码:A
收稿日期:2009210230
基金项目:国家高技术研究发展计划(863 计划) 项目(2007AA10Z240)
作者简介:伟利国(19782 ) ,男,辽宁宽甸人,中国农业机械化科学研究院高级工程师,硕士.
1 引言
鸟鸣叫声研究已成为鸟类行为与声学研究相互交叉、相互渗透的新的边缘学科[122 ] . 鸟声作为鸟类
重要的生物学特征之一,从本世纪30 年代已经开展了一些研究工作,到1992 年为止,全世界所有鸟类
的2/ 3 已被录到叫声. 鸟鸣叫声是一种非常重要的鸟类行为学特征,不同的鸣叫声具有不同的行为意
义. 在鸟鸣叫声的个体识别以及鸣叫声与鸟类行为的关系研究中,都需要从鸟鸣叫声信号波形中提取特
征参数,采用单一的特征参数无法描述鸣叫声中丰富的行为意义和个性特征,需要将多种特征参数组合
使用[ 324 ] . 本文介绍了鸟鸣叫声中多种特征参数的提取方法,为鸟鸣叫声研究提取提供了有力的技术
支持.
2 鸟鸣叫声声学特征
鸟类鸣叫声声学形状描述的参数包括[529 ] :音节库的数量和组成,音节声长( sound lengt h ,SL) ,间
歇(interval time , IT) ,每单个音节的脉冲个数(p ulse group ,PG) ,脉冲持续时间(p ulse duration , PD) ,
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