Results 121 to 130 of about 7,109 (152)

A robust automatic birdsong phrase classification: A template-based approach

The Journal of the Acoustical Society of America, 2016
Automatic phrase detection systems of bird sounds are useful in several applications as they reduce the need for manual annotations. However, birdphrase detection is challenging due to limited training data and background noise. Limited data occur because of limited recordings or the existence of rare phrases.
Kantapon, Kaewtip, Abeer, Alwan, Colm, O'Reilly, Charles E, Taylor   +3 more
openaire   +2 more sources

Classification Method of Birdsong Based on Gabor_WT Feature Image and Convolutional Neural Network

2021 4th International Conference on Pattern Recognition and Artificial Intelligence (PRAI), 2021
In the classification of birdsong, the effect of traditional feature extraction methods and identifying birds through deep learning methods is still not ideal. Therefore, this paper proposes a birdsong classification method based on Gabor_Wt feature image and convolutional neural network.
Jiang Liu, Yan Zhang, Danjv Lv, Jing Lu, Haifeng Xu, Shanshan Xie, Yanjiao Xiong   +6 more
openaire   +1 more source

Integrating Grey Wolf Optimizer for Feature Selection in Birdsong Classification Using K-Nearest Neighbours Algorithm

International Journal of Intelligent Engineering and Systems, 2023
This study aims to improve the classification accuracy of birdsongs by selecting the most pertinent features. This is important because birds are exceptional environmental regulators, but many species are endangered. The community can be assisted in distinguishing bird species and conserving the local environment if the classification is more precise ...
Pramunendar, Ricardus Anggi, Andono, Pulung Nurtantio, Shidik, Guruh Fajar, Megantara, Rama Aria, Pergiwati, Dewi, Prabowo, Dwi Puji, Sari, Yuslena, Lim, Way Soong   +7 more
openaire   +2 more sources

Dynamic time warping and sparse representation classification for birdsong phrase classification using limited training data

The Journal of the Acoustical Society of America, 2015
Annotation of phrases in birdsongs can be helpful to behavioral and population studies. To reduce the need for manual annotation, an automated birdsong phrase classification algorithm for limited data is developed. Limited data occur because of limited recordings or the existence of rare phrases. In this paper, classification of up to 81 phrase classes
Lee N, Tan, Abeer, Alwan, George, Kossan, Martin L, Cody, Charles E, Taylor   +4 more
openaire   +2 more sources

Robust Hidden Markov Models for limited training data for birdsong phrase classification

The Journal of the Acoustical Society of America, 2017
Hidden Markov Models (HMMs) have been studied and used extensively in speech and birdsong recognition but they are not robust to limited training data and noise. This work present a novel method to training GMM-HMMs with extremely limited data—and possibly noisy—by sharing HMM components and generating more training samples that cover the variation of ...
Kantapon Kaewtip, Abeer Alwan, Charles Taylor   +2 more
openaire   +1 more source

An Integrated Framework for Field Recording, Localization, Classification and Annotation of Birdsongs Using Robot Audition Techniques — Harkbird 2.0

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
Bird vocalizations are one of the important subjects in ecoacoustics because birds communicate diversely using various vocalizations such as songs and calls. We have developed a portable system, HARKBird to provide a basic function, i.e., birdsong localization, which automatically extracts sound sources and their direction of arrivals (DOA) using robot
S. Sumitani, R. Suzuki, N. Chiba, S. Matsubayashi, T. Arita, K. Nakadai, H. G. Okuno   +6 more
openaire   +1 more source

Birdsong classification based on multi feature channel fusion

Multimedia Tools and Applications, 2022
Zhihua Liu, Wenjie Chen, Aibin Chen, Guoxiong Zhou, Jizheng Yi   +4 more
openaire   +1 more source

Birdsong Classification Based On Hybrid CNN-LSTM Neural Network

2023 38th Youth Academic Annual Conference of Chinese Association of Automation (YAC), 2023
Xin Wang, Chengcheng Ren, Tao Yu, Shuping He   +3 more
openaire   +1 more source

Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce, Lorenzo Cohen, Karen M Mustian   +2 more
exaly  

Multi-View Classification Model for Birdsong Recognition

2024 6th International Academic Exchange Conference on Science and Technology Innovation (IAECST)
Zhun Li, Wei Li, Yan Zhang
openaire   +1 more source