Soundscape Indices: New Features for Classifying Beehive Audio Samples
文献类型：期刊论文
| 作者 | Sharif, M. Z.1,2; Wario, F.3; Di, N.1,2; Xue, R.1,2; Liu, F.1,2
|
| 刊名 | SOCIOBIOLOGY
 |
| 出版日期 | 2020-12-01 |
| 卷号 | 67 |
| 关键词 | Apis mellifera bioacoustics low-level signal features machine learning trichloromethane soundscape index |
| ISSN号 | 0361-6525 |
| DOI | 10.13102/sociobiology.v67i4.5860 |
| 通讯作者 | Liu, F.(flliu@ipp.ac.cn) |
| 英文摘要 | As the study of honey bee health has gained attention in the biology community, researchers have looked for new, non-invasive methods to monitor the health status of the colony. Since the beehive sound alters when the colony is exposed to stressors, analysis of the acoustic response of the colony has been used as a method to identify the type of stressor, whether it is chemical, pest, or disease. So far, two feature sets have been successfully used for this kind of analysis, being these low-level signal features and Mel Frequency Cepstral Coefficients (MFCC). Here we propose using soundscape indices, developed initially to delineate acoustic diversity in ecosystems, as an alternative to now used features. In our study, we examine the beehive acoustic response to trichloromethane laced-air and blank air and compare the performance of all three feature sets to discern the colony's sound between the hive being exposed to the chemical and not. Our results show that sound indices overperform the alternative features sets on this task. Based on these findings, we consider sound indices to be a valid set of features for beehive sound analysis and present our results to call the attention of the community on this fact. |
| WOS关键词 | BEE-HIVES ; CLASSIFICATION |
| 资助项目 | Key Research Program of the Chinese Academy of Sciences[KGFZD-135-17-010] |
| WOS研究方向 | Entomology |
| 语种 | 英语 |
| WOS记录号 | WOS:000603426700010 |
| 出版者 | UNIV ESTADUAL FEIRA SANTANA |
| 资助机构 | Key Research Program of the Chinese Academy of Sciences |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/120044]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Liu, F. |
| 作者单位 | 1.Chinese Acad Sci, Inst Tech Biol & Agr Engn, Hefei Inst Phys Sci, Hefei 230031, Anhui, Peoples R China 2.Univ Sci & Technol China, Hefei 230026, Peoples R China 3.Univ Guadalajara, Av Juarez 976, Guadalajara 44100, Jalisco, Mexico |
| 推荐引用方式 GB/T 7714 | Sharif, M. Z.,Wario, F.,Di, N.,et al. Soundscape Indices: New Features for Classifying Beehive Audio Samples[J]. SOCIOBIOLOGY,2020,67. |
| APA | Sharif, M. Z.,Wario, F.,Di, N.,Xue, R.,&Liu, F..(2020).Soundscape Indices: New Features for Classifying Beehive Audio Samples.SOCIOBIOLOGY,67. |
| MLA | Sharif, M. Z.,et al."Soundscape Indices: New Features for Classifying Beehive Audio Samples".SOCIOBIOLOGY 67(2020). |
入库方式： OAI收割
来源：合肥物质科学研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。