Classification of vocalizations of killer whales using dynamic time warping

被引:27
|
作者
Brown, JC [1 ]
Hodgins-Davis, A
Miller, PJO
机构
[1] Wellesley Coll, Dept Phys, Wellesley, MA 02481 USA
[2] MIT, Media Lab, Cambridge, MA 02139 USA
[3] Wellesley Coll, Dept Biol, Wellesley, MA 02481 USA
[4] Univ St Andrews, Sea Mammal Res Unit, St Andrews KY16 9QQ, Fife, Scotland
来源
关键词
D O I
10.1121/1.2166949
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
A large number of killer whale sounds have recently been classified perceptually into Call Types. [A. Hodgins-Davis, thesis, Wellesley College (2004)]. The repetition rate of the pulsed component of five or more examples of each call type has been calculated using a modified form of the FFT based comb-filter method. A dissimilarity or distance matrix for these sounds was calculated using dynamic time warping to compare their melodic contours. These distances were transformed into a component space using multidimensional scaling and the resulting points were clustered with a kmeans algorithm. In grouping 57 sounds into 9 call types, a single discrepancy between the perceptual and the automated methods occurred. (c) 2006 Acoustical Society of America.
引用
收藏
页码:EL34 / EL40
页数:7
相关论文
共 50 条
  • [41] On the time series support vector machine using dynamic time warping kernel for brain activity classification
    Chaovalitwongse W.A.
    Pardalos P.M.
    Cybernetics and Systems Analysis, 2008, 44 (01) : 125 - 138
  • [42] Data Augmented Dynamic Time Warping for Skeletal Action Classification
    Chang, Ju Yong
    Heo, Yong Seok
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2018, E101D (06) : 1562 - 1571
  • [43] Music Classification Based on Melodic Similarity with Dynamic Time Warping
    Yu, Huijia
    Henriquez, Isolda
    2013 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH (ICCIC), 2013, : 554 - 559
  • [44] Dynamic Time Warping Distance for Message Propagation Classification in Twitter
    Jendoubi, Siwar
    Martin, Arnaud
    Lietard, Ludovic
    Ben Yaghlane, Boutheina
    Ben Hadji, Hend
    SYMBOLIC AND QUANTITATIVE APPROACHES TO REASONING WITH UNCERTAINTY, ECSQARU 2015, 2015, 9161 : 419 - 428
  • [45] Segmented dynamic time warping based signal pattern classification
    Hong, Jae Yeol
    Park, Seung Hwan
    Baek, Jun-Geol
    2019 22ND IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING (IEEE CSE 2019) AND 17TH IEEE INTERNATIONAL CONFERENCE ON EMBEDDED AND UBIQUITOUS COMPUTING (IEEE EUC 2019), 2019, : 260 - 262
  • [46] Dynamic time warping in classification and selection of motion capture data
    Adam Switonski
    Henryk Josinski
    Konrad Wojciechowski
    Multidimensional Systems and Signal Processing, 2019, 30 : 1437 - 1468
  • [47] Dynamic time warping in classification and selection of motion capture data
    Switonski, Adam
    Josinski, Henryk
    Wojciechowski, Konrad
    MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING, 2019, 30 (03) : 1437 - 1468
  • [48] Power spectrum and dynamic time warping for DNA sequences classification
    Dakhli, Abdesselem
    Ben Amar, Chokri
    EVOLVING SYSTEMS, 2020, 11 (04) : 637 - 646
  • [49] Power spectrum and dynamic time warping for DNA sequences classification
    Abdesselem Dakhli
    Chokri Ben Amar
    Evolving Systems, 2020, 11 : 637 - 646
  • [50] Gait recognition using dynamic time warping
    Boulgouris, NV
    Plataniotis, KN
    Hatzinakos, D
    2004 IEEE 6TH WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING, 2004, : 263 - 266