摘要
In this paper, we make a survey on current research for bird sound recognition in China, Particularly we summarise the relevant studies in Chinese literature on feature extraction and classification applied to bird sound recognition. We found that, the related Chinese publications in this area are extremely lacking. Moreover, the current technologies are mainly originated from classic machine learning methods. Additionally, open access and standard bird sound databases are still on the way to be built in China. We claim in this paper that, open access and standard bird sound database should be established soon. Besides, advanced deep learning techniques should be investigated more into this field.
| 投稿的翻译标题 | A Survey on Chinese Literature for Bird Sound Recognition Based on Machine Listening |
|---|---|
| 源语言 | 繁体中文 |
| 页(从-至) | 375-380 |
| 页数 | 6 |
| 期刊 | Journal of Fudan University (Natural Science) |
| 卷 | 59 |
| 期 | 3 |
| 出版状态 | 已出版 - 6月 2020 |
| 已对外发布 | 是 |
关键词
- artificial intelligence
- bird sound recognition
- ecological monitoring
- machine listening
指纹
探究 '基于机器听觉的鸟声识别的中文研究综述' 的科研主题。它们共同构成独一无二的指纹。引用此
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