.. _related:

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Related articles and software
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automated classification of birdsong elements
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

**with support vector machines**
Tachibana, Ryosuke O., Naoya Oosugi, and Kazuo Okanoya.
"Semi-automatic classification of birdsong elements using a linear support vector machine."
PloS one 9.3 (2014): e92584.
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0092584

**with convolutional neural nets**
Koumura, Takuya, and Kazuo Okanoya.
"Automatic Recognition of Element Classes and Boundaries in the Birdsong with Variable Sequences."
PloS one 11.7 (2016): e0159188.
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0159188
https://github.com/cycentum/birdsong-recognition

**with k-nearest neighbors**
Songbrowser. Troyer lab.
http://www.utsa.edu/troyerlab/software.html

semi-automated clustering methods
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Daou, Johnson, Wu, Bertram.
"A Computational Tool for Automated Large-Scale Analysis and Measurement of Bird-Song Syntax"
Journal of Neuroscience Methods, 210:147-160, 2012.
http://www.sciencedirect.com/science/article/pii/S0165027012002841
http://www.math.fsu.edu/~bertram/software/birdsong/

Burkett, Zachary D., et al.
"VoICE: A semi-automated pipeline for standardizing vocal analysis across models."
Scientific reports 5 (2015).
https://www.ibp.ucla.edu/research/white/CODE.html

automated analysis and similarity scores
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Tchernichovski, O., Nottebohm, F., Ho, C.E., Bijan, P., Mitra, P.P.
"A procedure for an automated measurement of song similarity."
Animal Behaviour 59 (2000): 1167-1176
http://soundanalysispro.com/

Mandelblat-Cerf, Yael, and Michale S. Fee.
"An automated procedure for evaluating song imitation."
PloS one 9.5 (2014): e96484.
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0096484#s6
code: https://doi.org/10.1371/journal.pone.0096484.s002

Mets, David Gavin, and Michael S. Brainard.
"An Automated Approach to the Quantitation of Vocalizations
and Vocal Learning in the Songbird."
bioRxiv (2017): 166124.
https://www.biorxiv.org/content/early/2017/07/20/166124

Soderstrom, Ken, and Ali Alalawi.
"Software for objective comparison of vocal acoustic features
over weeks of audio recording: KLFromRecordingDays."
SoftwareX 6 (2017): 271-277.
http://www.sciencedirect.com/science/article/pii/S2352711017300523
code: https://github.com/soderstromk/KLFromRecordingDays