Soundscape Viewer === ![logo](https://lh3.googleusercontent.com/pw/ACtC-3f8P5a_KnZTV4d_FC0AnHmpeRl2lyP0CpBc3p_bEFDwTJKq71qpennAZCryOO154X-J__HXPdeYs74AvttICk1G6tJqnsN1lj_THftx71vyaVqlZD-haoCco0pMzU5FguN3L0qQtv9WE8vR1J574SW5=w582-h556-no?authuser=0 =200x) 本文件為 Python 版本的 Soundscape Viewer 使用說明，Soundscape Viewer 為中央研究院生物多樣性研究中心，[海洋生態聲學與資訊實驗室](https://sites.google.com/view/marine-ecoacoustics)所開發的聲景訊息擷取 (Soundscape information retrieval) 工具，歡迎有興趣的朋友前往 [Github](https://github.com/schonkopf/soundscape_IR) 下載原始碼，也歡迎與我們聯繫合作。 :::info 除了本文件之外，也可以透過 [Colab Notebook](https://colab.research.google.com/drive/1Bod1SW8YtVgFWPO4w8WFGORmku-MPCL-#scrollTo=8F6ttwylWUdY) 來體驗 Soundscape Viewer 的各項功能。 ::: - [回到首頁](/@meil/soundscape_viewer) 使用教學 --- - [為長期時頻譜圖準備聲音資料](/Eyc9BJ-BT6e5KrFBa3Nknw) - [製作長期時頻譜圖](/pR5gtceDS_WyPBVH7ObP9g) - [檢視長期時頻譜圖](/USC8plCtSniVZRtaVUIrFw) - 分析長時間錄音的頻譜特性 - [在長期時頻譜圖上執行聲源分離](/ZuOpr_95RuuJg7vUJdFiaA) - [在長期時頻譜圖上進行群聚分析](/1xMyuesXQnaZQQjl7AKV7A) - [觀察聲音波形與頻譜](/2TbzGo3uR52dvDjfLRV41w) 參考文獻 --- **長期時頻譜圖** 1. [Merchant ND, Fristrup KM, Johnson MP, Tyack PL, Witt MJ, Blondel P, Parks SE (2015) Measuring acoustic habitats. Methods in Ecology and Evolution 6: 257–265.](https://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.12330) **聲源分離** 1. [Lin TH, Tsao Y (2019) Source separation in ecoacoustics: A roadmap toward versatile soundscape information retrieval. Remote Sensing in Ecology and Conservation: in press](https://doi.org/10.1002/rse2.141) 2. [Lin TH, Fang SH, Tsao Y (2017) Improving biodiversity assessment via unsupervised separation of biological sounds from long-duration recordings. Scientific Reports 7: 4547](https://www.nature.com/articles/s41598-017-04790-7) **聲音聚類分析** 1. [Phillips YF, Towsey M, Roe P (2018) Revealing the ecological content of long-540 duration audio-recordings of the environment through clustering and 541 visualisation. PLOS ONE 13(3):e0193345](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0193345) **生態監測應用** 1. [Lin TH, Yang HT, Huang JM, Yao CJ, Lien YS, Wang PJ, Hu FY (2019) Evaluating changes in the marine soundscape of an offshore wind farm via the machine learning-based source separation. Underwater Technology 2019](https://ieeexplore.ieee.org/document/8734295) 2. [Lin TH, Tsao Y (2018) Listening to the deep: Exploring marine soundscape variability by information retrieval techniques. OCEANS ’18 Kobe](https://ieeexplore.ieee.org/document/8559307) 3. [Lin TH, Tsao Y, Akamatsu T (2018) Comparison of passive acoustic soniferous fish monitoring with supervised and unsupervised approaches. Journal of the Acoustical Society of America Express Letters 143: EL278](https://asa.scitation.org/doi/10.1121/1.5034169)
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