|
邓怀庆, 周江. 海南长臂猿研究现状. 四川动物, 2015, 34 (4): 635- 640.
|
|
Deng H Q , Zhou J . The research status of Hainan gibbon. Sichuan Journal of Zoology, 2015, 34 (4): 635- 640.
|
|
范朋飞. 中国长臂猿科动物的分类和保护现状. 兽类学报, 2012, 32 (3): 248- 258.
|
|
Fan P F . Taxonomy and conservation status of gibbons in China. Acta Theriologica Sinica, 2012, 32 (3): 248- 258.
|
|
胡绍湘, 陈鹏, 侯蓉, 等. 2019. 一种大熊猫个体识别方法、设备及计算机可读存储介质: CN110189757A.
|
|
Hu Shaoxiang, Chen Peng, Hou Rong, et al. 2019. A giant panda individual identification Device and Computer Readable storage medium: CN110189757A. [in Chinese]
|
|
Abdel-Hamid O, Mohamed A, Jiang H, et al. 2012. Applying convolutional neural networks concepts to hybrid NN-HMM model for speech recognition//2012 IEEE international conference on Acoustics, speech and signal processing(ICASSP). IEEE, 4277-4280.
|
|
Bartlett T Q , Light L E O , Brockelman W Y . Long-term home range use in white-handed gibbons(Hylobates lar) in Khao Yai National Park, Thailand. American Journal of Primatology, 2016, 78 (2): 192- 203.
doi: 10.1002/ajp.22492
|
|
Bergler C , Schr ter H , Cheng R X , et al. ORCA-SPOT: An automatic killer whale sound detection toolkit using deep learning. Scientific Reports, 2019, 9 (1): 1- 17.
doi: 10.1038/s41598-018-37186-2
|
|
Blumstein D T , Mennill D J , Clemins P , et al. Acoustic monitoring in terrestrial environments using microphone arrays: applications, technological considerations and prospectus. Journal of Applied Ecology, 2011, 48 (3): 758- 767.
doi: 10.1111/j.1365-2664.2011.01993.x
|
|
Bryant J V , Zeng X , Hong X , et al. Spatiotemporal requirements of the Hainan gibbon: Does home range constrain recovery of the world's rarest ape?. American Journal of Primatology, 2017, 73 (6): e22617.
|
|
Clink D J , Crofoot M C , Marshall A J . Application of a semi-automated vocal fingerprinting approach to monitor Bornean gibbon females in an experimentally fragmented landscape in Sabah, Malaysia. Bioacoustics-the International Journal of Animal Sound & Its Recording, 2018, 28 (3): 193- 209.
|
|
Dallmann R , Geissmann T . Individuality in the female songs of wild Silvery Gibbons(Hylobates moloch) on Java, Indonesia. Contributions to Zoology, 2001, 70 (1): 41- 50.
doi: 10.1163/18759866-07001003
|
|
Delgado R A . Geographic variation in the long calls of male orangutans(Pongo spp. ). Ethology, 2010, 113 (5): 487- 498.
|
|
Deng H , Zhou J , Yang Y . Sound spectrum characteristics of songs of hainan gibbon(Nomascus hainanus). International Journal of Primatology, 2014, 35 (2): 547- 556.
doi: 10.1007/s10764-014-9767-3
|
|
Fedurek P , Zuberbühler K , Dahl C D . Sequential information in a great ape utterance. Scientific Reports, 2016, 6 (1): 38226.
doi: 10.1038/srep38226
|
|
Feng J J , Cui L W , Ma C Y , et al. Individuality and stability in male songs of cao vit gibbons(Nomascus nasutus) with potential to monitor population dynamics. PLoS One, 2014, 9 (5): e96317.
doi: 10.1371/journal.pone.0096317
|
|
Grava T , Mathevon N , Place E , et al. Individual acoustic monitoring of the European Eagle Owl Bubo bubo. Ibis, 2010, 150 (2): 279- 287.
|
|
Grill T, Schlüter J. 2017. Two convolutional neural networks for bird detection in audio signals//2017 25th European Signal Processing Conference(EUSIPCO). IEEE, 1764-1768.
|
|
Haimoff E H , Tilson R L . Individuality in the female songs of wild Kloss' gibbons(Hylobates klossii) on Siberut Island, Indonesia. Folia Primatologica, 1985, 44 (3-4): 129- 137.
doi: 10.1159/000156207
|
|
He K, Zhang X, Ren S, et al. 2016. Deep residual learning for image recognition//Proceedings of the IEEE conference on computer vision and pattern recognition. 770-778.
|
|
Ji A , Johnson M T , Walsh E J , et al. Discrimination of individual tigers(Panthera tigris) from long distance roars. The Journal of the Acoustical Society of America, 2013, 133 (3): 1762- 1769.
doi: 10.1121/1.4789936
|
|
Kirschel A , Earl D A , Yao Y , et al. Using songs to identify individual Mexican Antthrush(Formicarius moniliger): a comparison of four classification methods. Bioacoustics-the International Journal of Animal Sound & Its Recording, 2009, 19 (1/2): 1- 20.
|
|
Kulyukin V , Mukherjee S , Amlathe P . Toward audio beehive monitoring: Deep learning vs. standard machine learning in classifying beehive audio samples. Applied Sciences, 2018, 8 (9): 1573.
|
|
Lukic Y, Vogt C, Dürr O, et al. 2016. Speaker identification and clustering using convolutional neural networks//2016 IEEE 26th international workshop on machine learning for signal processing(MLSP). IEEE, 1-6.
|
|
Maegawa Y , Haga C , Matsui T , et al. A new survey method using convolutional neural networks for automatic classification of bird calls. Ecological Informatics, 2020, 61 (4): 101164.
|
|
Oyakawa C , Koda H , Sugiura H . Acoustic features contributing to the individuality of wild agile gibbon(Hylobates agilis) songs. American Journal of Primatology, 2010, 69 (7): 777- 790.
|
|
Rabiner L R . A tutorial on hidden Markov models and selected applications in speech recognition. Proceedings of the IEEE, 1989, 77 (2): 257- 286.
doi: 10.1109/5.18626
|
|
Rabiner L R , Levinson S E , Sondhi M M . On the application of vector quantization and hidden markov models to speaker-independent, isolated word recognition. The Bell System Technical Journal, 2014, 62 (4): 1075- 1105.
|
|
Rawat W , Wang Z . Deep convolutional neural networks for image classification: a comprehensive review. Neural Computation, 2017, 29 (9): 2352- 2449.
|
|
Reynolds D A , Rose R C . Robust text-independent speaker identification using Gaussian mixture speaker models. IEEE Trans Speach & Audio Processing, 1995, 3 (1): 72- 83.
|
|
Sarıgül M , Ozyildirim B M , Avci M . Differential convolutional neural network. Neural Networks, 2019, 116, 279- 287.
|
|
Sethi S S , Jones N S , Fulcher B D , et al. Characterizing soundscapes across diverse ecosystems using a universal acoustic feature set. Proceedings of the National Academy of Sciences, 2020, 117 (29): 17049- 17055.
|
|
Spillmann B , Schaik C P V , Setia T M , et al. Who shall I say is calling? Validation of a caller recognition procedure in Bornean flanged male orangutan(Pongo pygmaeus wurmbii) long calls. Bioacoustics-the International Journal of Animal Sound & Its Recording, 2017, 26 (2): 109- 120.
|
|
Sprengel E, Jaggi M, Kilcher Y, et al. 2016. Audio based bird species identification using deep learning techniques. LifeCLEF: 547-559.
|
|
Sun G Z , Huang B , Guan Z H , et al. Individuality in male songs of wild black crested gibbons(Nomascus concolor). American Journal of Primatology, 2011, 73 (5): 431- 438.
|
|
Terleph T A , Malaivijitnond S , Reichard U H . Lar gibbon(Hylobates lar) great call reveals individual caller identity. American Journal of Primatology, 2015, 77 (7): 811- 821.
|
|
Zhou H, Song Y, Shu H. 2017. Using deep convolutional neural network to classify urban sounds//TENCON 2017-2017 IEEE Region 10 Conference. IEEE, 3089-3092.
|