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Research progress of birdsong recognition algorithms based on machine learning
Xiaohu Shen, Xiangyu Zhu, Hongfei Shi, Chuanzhi Wang
State Forestry and Grassland Administration Jiangsu Police Officer College Hefei University
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摘要与影响
摘要 · 完整
template matching)、 时序分析(time series analysis)、 迁移学习(transfer learning)、 数据融合(data fusion)、集成学习(ensemble learning)、度量学习(metric learning)和无监督聚类(unsupervised clustering)的鸟鸣识别算法。本文
逐年被引趋势
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1
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0.14
领域内被引倍数
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同类平均 = 1
前 55%
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同领域 · 同年份 · 同类型
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参考文献
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学术脉络
学科主题
物理Remote Sensing and Land Use
参考文献 82
Automatic Birdsong Recognition with MFCC Based Syllable Feature Extraction
被引 9Chih-Hsun Chou, Hui-Yu Ko · Lecture notes in computer science · 2011
Bird-phrase segmentation and verification: A noise-robust template-based approach
被引 8Kantapon Kaewtip, Lee Ngee Tan, Charles Taylor · 2015
Repertoire‐based individual acoustic monitoring of a migratory passerine bird with complex song as an efficient tool for tracking territorial dynamics and annual return rates
被引 50Tereza Petrusková, Iveta Pišvejcová, Anna Kinštová · Methods in Ecology and Evolution · 2015
此处列出前 3 条
引用本文 1
Acoustic Indices Reveal Fundamental Differences in Daily Phenology of Tropical and Temperate Forest Soundscapes
被引 3Laura Berman, Santiago Perea, H. S. Sathya Chandra Sagar · Global Ecology and Biogeography · 2026
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