Detection of Birds Chirping Using Machine Learning
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-8443-5_14
Reference12 articles.
1. Thakur, A., Sharma, P., Abrol, V., Rajan, P.: Conv-codes: audio hashing for bird species classification. In: Proceedings of the ICASSP 2019 –2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, United Kingdom, United Kingdom, 12–17 May 2019
2. Jancovic, P., Kokuer, M.: Bird species recognition using unsupervised modeling of individual vocalization elements. IEEE/ACM Trans Audio Speech Lang Process (TASLP) 27(5), 932–947 (2019)
3. Thakur, A., Abrol, V., Sharma, P., Rajan, P.: Compressed convex spectral embedding for bird species classification. In: Proceedings of the ICASSP 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), April 2018
4. Shamim Towhid, Md., Mijanur Rahman Md.: Spectrogram segmentation for bird species classification based on temporal continuity. In: Proceedings of the 2017 20th International Conference of Computer and Information Technology (ICCIT), Dhaka, Bangladesh, 22–24 Dec 2017
5. Qiao, B., Zuofeng, Z., Zhou, Z., Yang, H., Cao, J.: Bird species recognition based on SVM classifier and decision tree. In: Proceedings of. 2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS), Harbin, China, 3–5 June 2017
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