Abe, K., Watanabe, D.: Songbirds possess the spontaneous ability to discriminate syntactic rules. Nat. Neurosci. 14(8), 1067–1074 (2011). https://doi.org/10.1038/nn.2869
CrossRef
Google Scholar
Agency, J.M.: Japan meteorological agency: namie automated meteorological data acquisition system (2013). https://www.jma.go.jp/jp/amedas/
Alexakhin, R., et al.: Environmental consequences of the Chernobyl accident and their remediation: twenty years of experience. Report of the Chernobyl Forum Expert group “Environment”. International Atomic Energy Agency (2006)
Google Scholar
Bartcus, M., Chamroukhi, F., Glotin, H.: Hierarchical dirichlet process hidden Markov model for unsupervised bioacoustic analysis. In: 2015 International Joint Conference on Neural Networks (IJCNN), pp. 1–7. IEEE (2015)
Google Scholar
Begon, M., Harper, J., Townsend, C.: Ecology: Individuals, Populations and Communities. Blackwell Science Ltd. (December 1997)
Google Scholar
Berwick, R.C., Chomsky, N.: Birdsong, Speech, and Language: Exploring the Evolution of Mind and Brain. MIT Press (2013)
Google Scholar
Brady, E., Morris, M.R., Bigham, J.P.: Gauging receptiveness to social microvolunteering. In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, CHI 2015, pp. 1055–1064. ACM, New York (2015). https://doi.org/10.1145/2702123.2702329
Branson, S., et al.: Visual recognition with humans in the loop. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010. LNCS, vol. 6314, pp. 438–451. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-15561-1_32
CrossRef
Google Scholar
Cappadonna, J.L., Brereton, M., Watson, D.M., Roe, P.: Calls from the wild: engaging citizen scientist with animal sounds. In: Proceedings of the 2016 ACM Conference Companion Publication on Designing Interactive Systems, pp. 157–160. ACM (2016)
Google Scholar
Chomsky, N.: On certain formal properties of grammars. Inf. Control 2(2), 137–167 (1959)
MathSciNet
CrossRef
Google Scholar
Cottman-Fields, M., Brereton, M., Roe, P.: Virtual birding: extending an environmental pastime into the virtual world for citizen science. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 2029–2032. ACM (2013)
Google Scholar
ESRI: Arcgis version 10.4.1 (2015)
Google Scholar
Fagerlund, S.: Bird species recognition using support vector machines. EURASIP J. Appl. Sig. Process. 2007(1), 64 (2007)
MATH
Google Scholar
Harma, A.: Automatic identification of bird species based on sinusoidal modeling of syllables. In: 2003 Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2003, vol. 5, p. V-545. IEEE (2003)
Google Scholar
Ishida, K.: Contamination of wild animals: effects on wildlife in high radioactivity areas of the agricultural and forest landscape. In: Nakanishi, T.M., Tanoi, K. (eds.) Agricultural Implications of the Fukushima Nuclear Accident, pp. 119–129. Springer, Tokyo (2013). https://doi.org/10.1007/978-4-431-54328-2_12
CrossRef
Google Scholar
Ishida, K., Tanoi, K., Nakanishi, T.M.: Monitoring free-living Japanese Bush Warblers (Cettia diphone) in a most highly radiocontaminated area of Fukushima Prefecture. Japan. J. Radiat. Res. 56, i24–i28 (2015). https://doi.org/10.1093/jrr/rrv087
CrossRef
Google Scholar
Kasten, E.P., Gage, S.H., Fox, J., Joo, W.: The remote environmental assessment laboratory’s acoustic library: an archive for studying soundscape ecology. Eco. Inform. 12, 50–67 (2012)
CrossRef
Google Scholar
Kobayashi, H.H., et al.: A real-time streaming and detection system for bio-acoustic ecological studies after the Fukushima accident. In: Joly, A., Vrochidis, S., Karatzas, K., Karppinen, A., Bonnet, P. (eds.) Multimedia Tools and Applications for Environmental & Biodiversity Informatics. MSA, pp. 53–66. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-76445-0_4
CrossRef
Google Scholar
Lasseck, M.: Large-scale identification of birds in audio recordings. In: CLEF (Working Notes), pp. 643–653 (2014)
Google Scholar
Lin, T.H., Fang, S.H., Tsao, Y.: Improving biodiversity assessment via unsupervised separation of biological sounds from long-duration recordings. Sci. Rep. 7(1), 4547 (2017)
CrossRef
Google Scholar
Poupard, M., De Montgolfier, B., Roger, V., Lohani, D., Glotin, H.: EthoAcoustics: a model based on t-SNE & clustering, applied on pantropical spotted dolphin during whale watching. In: 8th International DCLDE (Detection, Classification, Localization, and Density Estimation) Workshop (2018)
Google Scholar
Quinn, A.J., Bederson, B.B.: Human computation: a survey and taxonomy of a growing field. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1403–1412. ACM (2011)
Google Scholar
Roger, V., Bartcus, M., Chamroukhi, F., Glotin, H.: Unsupervised bioacoustic segmentation by hierarchical dirichlet process hidden Markov Model. In: Joly, A., Vrochidis, S., Karatzas, K., Karppinen, A., Bonnet, P. (eds.) Multimedia Tools and Applications for Environmental & Biodiversity Informatics. MSA, pp. 113–130. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-76445-0_7
CrossRef
Google Scholar
Saito, K., Nakamura, K., Ueta, M., Kurosawa, R., Fujiwara, A., Kobayashi, H.H., Nakayama, M., Toko, A., Nagahama, K.: Utilizing the Cyberforest live sound system with social media to remotely conduct woodland bird censuses in Central Japan. Ambio 44(Suppl. 4), 572–583 (2015). https://doi.org/10.1007/s13280-015-0708-y
CrossRef
Google Scholar
Somervuo, P., Harma, A.: Bird song recognition based on syllable pair histograms. In: 2004 Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2004, vol. 5, p. V-825. IEEE (2004)
Google Scholar
Somervuo, P., Harma, A., Fagerlund, S.: Parametric representations of bird sounds for automatic species recognition. IEEE Trans. Audio Speech Lang. Process. 14(6), 2252–2263 (2006)
CrossRef
Google Scholar
Sullivan, B.L., Wood, C.L., Iliff, M.J., Bonney, R.E., Fink, D., Kelling, S.: eBird: a citizen-based bird observation network in the biological sciences. Biol. Conserv. 142(10), 2282–2292 (2009). https://doi.org/10.1016/j.biocon.2009.05.006
CrossRef
Google Scholar
Voida, A., Harmon, E., Al-Ani, B.: Bridging between organizations and the public: volunteer coordinators’ uneasy relationship with social computing. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1967–1976. ACM (2012)
Google Scholar
Wah, C., Branson, S., Perona, P., Belongie, S.: Multiclass recognition and part localization with humans in the loop. In: 2011 IEEE International Conference on Computer Vision (ICCV), pp. 2524–2531. IEEE (2011)
Google Scholar
Wang, F.Y., Carley, K.M., Zeng, D., Mao, W.: Social computing: from social informatics to social intelligence. IEEE Intell. Syst. 22(2), 79–83 (2007)
CrossRef
Google Scholar
Wheatcroft, D., Qvarnström, A.: Genetic divergence of early song discrimination between two young songbird species. Nat. Ecol. Evol. 1(7), 192 (2017). https://www.nature.com/articles/s41559-017-0192
CrossRef
Google Scholar
Wiggins, A., Newman, G., Stevenson, R.D., Crowston, K.: Mechanisms for data quality and validation in citizen science. In: 2011 IEEE 7th International Conference on e-Science Workshops (eScienceW), pp. 14–19. IEEE (2011)
Google Scholar