Automatic detection and classification of marmoset vocalizations using deep and recurrent neural networks

Author:

Zhang Ya-Jie1,Huang Jun-Feng2,Gong Neng2,Ling Zhen-Hua1,Hu Yu1

Affiliation:

1. National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, 443 Huangshan Road, Hefei 230027, China

2. Institute of Neuroscience, State Key Laboratory of Neuroscience, Chinese Academy of Sciences (CAS) Key Laboratory of Primate Neurobiology, Shanghai Institutes for Biological Sciences, CAS, 320 Yueyang Road, Shanghai 200031, China

Funder

the CAS Strategic Priority Research Program

Publisher

Acoustical Society of America (ASA)

Subject

Acoustics and Ultrasonics,Arts and Humanities (miscellaneous)

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Automatic Call Classification of Autism Model Marmosets by Deep Learning and Analysis of Their Vocal Development;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31

2. Optimising source identification from marmoset vocalisations with hierarchical machine learning classifiers;2022-11-20

3. Domestic pig sound classification based on TransformerCNN;Applied Intelligence;2022-06-16

4. The Use of Machine Learning Algorithms in the Classification of Sound;International Journal of Service Science, Management, Engineering, and Technology;2022-04-08

5. Convolutional Neural Networks for the Identification of African Lions from Individual Vocalizations;Journal of Imaging;2022-04-01

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