Publisher
Springer International Publishing
Reference19 articles.
1. Anderson, S.E., Dave, A.S., Margoliash, D.: Template-based automatic recognition of birdsong syllables from continuous recordings. J. Acoust. Soc. Am. 100(2), 1209–1219 (1996)
2. Bay, M., Ehmann, A.F., Downie, J.S.: Evaluation of multiple-F0 estimation and tracking systems. In: ISMIR (2009)
3. Chu, W., Blumstein, D.T.: Noise robust bird song detection using syllable pattern-based hidden Markov models. In: 2011 IEEE ICASSP, pp. 345–348 (2011)
4. Cohen, Y., Nicholson, D., Gardner, T.J.: TweetyNet: a neural network that enables high-throughput, automated annotation of birdsong. bioRxiv p. 2020.08.28.272088 (2020)
5. Proceedings of the International Neural Networks Society;C Gallicchio,2020
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