A procedure for an automated measurement of song similarity. Export

@article{citeulike:465713, abstract = {Assessment of vocal imitation requires a widely accepted way of describing and measuring any similarities between the song of a tutor and that of its pupil. Quantifying the similarity between two songs, however, can be difficult and fraught with subjective bias. We present a fully automated procedure that measures parametrically the similarity between songs. We tested its performance on a large database of zebra finch, Taeniopygia guttata, songs. The procedure uses an analytical framework of modern spectral analysis to characterize the acoustic structure of a song. This analysis provides a superior sound spectrogram that is then reduced to a set of simple acoustic features. Based on these features, the procedure detects similar sections between songs automatically. In addition, the procedure can be used to examine: (1) imitation accuracy across acoustic features; (2) song development; (3) the effect of brain lesions on specific song features; and (4) variability across different renditions of a song or a call produced by the same individual, across individuals and across populations. By making the procedure available we hope to promote the adoption of a standard, automated method for measuring similarity between songs or calls. Copyright 2000 The Association for the Study of Animal Behaviour.}, address = {Field Research Center, The Rockefeller University}, author = {Tchernichovski, O. and Nottebohm, F. and Ho, C. E. and Pesaran, B. and Mitra, P. P.}, citeulike-article-id = {465713}, citeulike-linkout-0 = {http://dx.doi.org/10.1006/anbe.1999.1416}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S0003-3472(99)91416-1}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/10877896}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=10877896}, citeulike-linkout-4 = {http://www.sciencedirect.com/science/article/B6W9W-45KKVK0-6W/1/81d42f0cc47da0634f47c4eb13d0951b}, doi = {10.1006/anbe.1999.1416}, issn = {0003-3472}, journal = {Anim Behav}, keywords = {acoustic\_features, song\_similarity}, month = {June}, number = {6}, pages = {1167--1176}, posted-at = {2008-04-28 14:42:16}, priority = {2}, title = {A procedure for an automated measurement of song similarity.}, url = {http://dx.doi.org/10.1006/anbe.1999.1416}, volume = {59}, year = {2000} }

TY - JOUR ID - citeulike:465713 L3 - citeulike-article-id:465713 N2 - Assessment of vocal imitation requires a widely accepted way of describing and measuring any similarities between the song of a tutor and that of its pupil. Quantifying the similarity between two songs, however, can be difficult and fraught with subjective bias. We present a fully automated procedure that measures parametrically the similarity between songs. We tested its performance on a large database of zebra finch, Taeniopygia guttata, songs. The procedure uses an analytical framework of modern spectral analysis to characterize the acoustic structure of a song. This analysis provides a superior sound spectrogram that is then reduced to a set of simple acoustic features. Based on these features, the procedure detects similar sections between songs automatically. In addition, the procedure can be used to examine: (1) imitation accuracy across acoustic features; (2) song development; (3) the effect of brain lesions on specific song features; and (4) variability across different renditions of a song or a call produced by the same individual, across individuals and across populations. By making the procedure available we hope to promote the adoption of a standard, automated method for measuring similarity between songs or calls. Copyright 2000 The Association for the Study of Animal Behaviour. IS - 6 JF - Anim Behav SN - 0003-3472 AD - Field Research Center, The Rockefeller University EP - 1176 TI - A procedure for an automated measurement of song similarity. VL - 59 SP - 1167 KW - acoustic_features KW - song_similarity AU - Tchernichovski, O AU - Nottebohm, F AU - Ho, CE AU - Pesaran, B AU - Mitra, PP PY - 2000/06// UR - http://dx.doi.org/10.1006/anbe.1999.1416 ER -