Bird classification algorithms: theory and experimental results-Reference-Cited by-同舟云学术

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Bird classification algorithms: theory and experimental results

Published: Issue: Volume: Page:
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Container-title:2004 IEEE International Conference on Acoustics, Speech, and Signal Processing
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Author:

Kwan C.,Mei G.,Zhao X.,Ren Z.,Xu R.,Stanford V.,Rochet C.,Aube J.,Ho K.C.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/9248/29347/01327104.pdf?arnumber=1327104

Cited by 8 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. A frequency-driven deep learning technique for bird segmentation and detection from RGB video;Applications of Machine Learning 2023;2023-10-04

2. An Always-On tinyML Acoustic Classifier for Ecological Applications;2022 IEEE International Symposium on Circuits and Systems (ISCAS);2022-05-28

3. Soundscape mapping for spatial-temporal estimate on bird activities in urban forests;Urban Forestry & Urban Greening;2021-01

4. A Comparative Study of Spatial Speech Separation Techniques to Improve Speech Recognition;Advances in Neural Networks – ISNN 2018;2018

5. Robust Speaker Identification Algorithms and Results in Noisy Environments;Advances in Neural Networks – ISNN 2018;2018

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