Ecoacoustics 2016

2016/6/5-8 @ University of Michigan

Investigation on the dynamics of soundscape by using unsupervised detection and classification algorithms

Tzu-Hao Lin, Lien-Siang Chou
Institute of Ecology and Evolutionary Biology, National Taiwan University, Repubic of China (Taiwan)

Yu-Huang Wang
Biodiversity Research Center, Academia Sinica, Repubic of China (Taiwan)

Soundscape has been proposed as a potential information source to study the variability of biodiversity. However, analysis of the soundscape is a challenging task when there is no sufficient database to recognize various sounds collected from long duration recordings. Previous researches have measured several acoustic diversity indexes to quantify the variation of biodiversity, but the acoustic diversity indexes are still difficult to interpret without any ground truth. In this study, we propose to analyze the composition of soundscape scenes and visualize the dynamics of soundscape by using unsupervised detection and classification algorithms. Different soundscape scenes were classified according to the tonal sounds, pulsed sounds, and acoustic features obtained from long-term spectrogram. By adjusting the variation explained through classification results, the number of soundscape scenes will be automatically determined. The unsupervised classifier has been employed to analyze the soundscape dynamics in several forests and shallow marine environments in Taiwan. Our results demonstrate that the seasonal and diurnal changing patterns of geophony, biophony, and anthrophony can be effectively investigated. Besides, the spatial change of soundscape can also be discriminated according to the composition of soundscape scenes. After the biophony scenes have been identified, we can apply the same classifier again to measure the complexity of biological sounds and examine the variability of biodiversity. The current approach provides researchers and managers a visualization platform to monitor the dynamics of soundscape and to study the interactions among acoustic environment, biodiversity, and human activities in the future.

2016年臺灣地球科學聯合學術研討會

2016/5/20

近海與海岸環境 Land-Ocean Interactions in the Changing Coastal Zones of Taiwan:
Scientific Basis and Societal Engagements

應用非監督式分類方法調查海洋聲景的時空變化

林子皓
國立台灣大學生態學與演化生物學研究所

海洋聲景由環境音、動物聲音與人為噪音所組成,是由各種水下聲音所構築而成的音響環境。環境音可能來自於風浪、海流、地震等等自然事件,受到海床地形、水文的變化,聲音在各地傳播的路徑有所不同,進而塑造出獨特的音響環境。動物音主要來自於海洋動物發聲,也可能來自動物移動過程或水面活動伴隨發出的聲音。動物音具有高度複雜的變異性,以鯨豚和魚類為例,不同種的聲音特徵有所差別,但同種的聲音卻也有可能受到行為影響而有著不同的結構。海域的人為噪音則以船隻交通、海洋工程的噪音為主,依據接受強度的不同,噪音可能會使動物受到生理傷害、干擾行為、遮蔽溝通,長期暴露下也可能增加免疫壓力。因此,調查海洋聲景不只可以協助我們了解海洋環境特性、海洋動物的種類組成與活動特性,更可以了解人為噪音對海洋生態的影響。近年來隨著水下技術的發展,國際上開始廣泛應用自動錄音機收集長時間水下錄音調查海洋聲景的時空變化。然而目前仍缺乏完整資料庫辨認各種聲音,也難以利用人工分析巨量錄音,因此阻礙了海洋聲景生態學的發展。本研究運用資訊分析技術,解析海洋聲景的事件組成,以進一步了解海洋環境與生態的動態變化。在野外取回水下錄音之後,計算每五分鐘水下錄音的平均功率頻譜,以壓縮大量的錄音資料,並將一系列的平均功率頻譜組合成長期時頻譜圖做為視覺化分析海洋聲景的基礎資料。此外,將每五分鐘的平均功率頻譜作為分析參數,經過多變數分析方法減少特徵向量的維度之後,利用區分資料在多重維度空間內的分佈叢集,作為非監督式分類海洋聲景事件的分析架構。本研究應用自行開發的演算法分析苗栗中港溪口附近海域的水下錄音資料,結果顯示海洋聲景的事件組成在以泥沙底質為主的河口海域以及礁石為主的人工魚礁附近有明顯的結構性差異。海洋聲景在河口海域以較為安靜的環境音、以及夜晚出現的石首魚群鳴唱為主,但在人工魚礁附近則是以吵雜的槍蝦聲音、以及傍晚過後出現的低頻魚群鳴音為主要的事件。透過視覺化分析海洋聲景事件組成的時序變化,將可協助海洋生態研究人員進一步了解各地的海洋動物群聚組成與生態系統的動態變化,並提供海洋生態保育經營的重要基礎資料。

Oceanoise Asia 2016

2016/4/20

Characterization of the marine soundscape at the core habitat of Indo-Pacific humpback dolphins

Tzu-Hao Lin, Lien-Siang Chou
Institute of Ecology and Evolutionary Biology, National Taiwan University

Shane Guan
Office of Protected Resources, National Marine Fisheries Service, Silver Spring, MD, USA

The soundscape in shallow waters displays a high level of spatial variation due to the difference in ocean environments, biological communities, and human activities. Many marine animals rely on sound for orientation; therefore, the soundscape has been hypothesized as one of the environmental indicators for marine animals. The population of Indo-Pacific humpback dolphins in western Taiwan waters is critically endangered. The anthropogenic noise might alter the marine soundscape evidently. However, the importance of soundscape for the habitat selection of cetacean remains unclear until now. In this study, underwater recorders were deployed in inshore waters to compare the difference of soundscape between the core habitat and non-core habitat of humpback dolphins. The result indicates that the composition of soundscape scene is different among our recording stations. At the core habitat, soundscape was characterized by the nighttime chorus of croakers and the quiet ambient sound in the daytime. On the contrary, snapping shrimp sounds represent the most dominated sound at the non-core habitats. The current result indicates that humpback dolphins prefer soundscape dominated by the chorus of their prey resources. The potential impacts of human activities on marine soundscape should be carefully evaluated in the future.

2016 動物行為暨生態研討會

2016/1/25-26

中華白海豚核心棲地的海洋聲景特徵以及保育經營的應用

林子皓、周蓮香

國立台灣大學生態學與演化生物學研究所

Shane Guan

美國國家海洋漁業局保護資源辦公室

海洋聲景由環境音、動物音以及人為噪音所組成,物理環境影響了聲音傳播,各地不同的動物群聚與人類活動也塑造出各種獨特的聲景。聲景中的訊息可讓海洋動物尋找適合的棲地,察知其他個體的活動位置,甚至探測獵物位置,因此可說是海洋動物生存的重要資源之一。台灣西部淺海的中華白海豚族群面臨許多威脅,水下噪音除了可能造成聽力損傷、行為干擾之外,也會改變當地的海洋聲景。但目前仍缺乏對白海豚棲地的聲景研究,也不清楚聲景的變化是否影響白海豚的棲地選擇。本研究於苗栗縣海域收集長時間水下聲音,分析時頻譜圖的時空變化,發現中港溪口的聲景與其他地區之間有明顯差異。中港溪口是中華白海豚的核心棲地,聲景以白天安靜的環境音和夜間吵雜的石首魚鳴唱為主。白海豚鮮少活動在龍鳳漁港外海的定置網區,以及外埔漁港外海的魚礁區,當地聲景則以槍蝦的寬頻脈衝聲與船隻噪音為主,石首魚的夜間鳴唱也較為低頻且不明顯。本研究結果顯示海洋聲景確實在白海豚核心與非核心棲地之間存在差異,高強度的石首魚鳴唱可能代表充足的食餌資源。未來除了可透過海洋聲景了解白海豚的潛在棲地,也可利用水下監聽站自動監測白海豚、石首魚與人為活動在各地海域的動態變化,以協助中華白海豚重要棲息環境的保育經營。

Conference presentation: 21st Biennial Conference on the Biology of Marine Mammals

13-18 Dec 2015

A noisy dinner? Passive acoustic monitoring on the predator-prey interactions between Indo-Pacific humpback dolphins and croakers

Tzu-Hao Lin, Wen-Ching Lien, Chih-Kai Yang, and Lien-Siang Chou
Institute of Ecology and Evolutionary Biology, National Taiwan University

Shane Guan
Office of Protected Resources, National Marine Fisheries Service, Silver Spring, MD, USA

The spatio-temporal dynamics of prey resources have been considered as important factors for shaping the distribution and behavior of odontocetes. Indo-Pacific humpback dolphin (Sousa chinensis) is a costal species, which primary feeds on benthic croakers. It has been hypothesized that the distribution pattern and periodic occurrence of humpback dolphins are results of their prey movement. However, the interactions between humpback dolphins and croakers remain unclear. During May 2013 and November 2014, underwater sound recordings were collected in western Taiwan waters. Croaker choruses and humpback dolphin echolocation clicks were automatically detected using custom developed algorithms. Both croaker choruses and dolphin clicks were frequently detected in shallow estuarine waters during spring and summer. In addition, shorter inter-click intervals were detected with higher frequencies in these areas, indicating more likely foraging behavior. Current results suggest that the core habitats of humpback dolphins show an agreement with the areas of prominent croaker chorus. Diurnal cycle analysis showed that croaker choruses were most evident after sunset to until approximately 4 A.M. In estuarine waters, humpback dolphin clicks were most frequently detected during the nighttime, with reduced detection rates after 8 A.M. This suggests that the diurnal behavior of humpback dolphins could be associated with the calling behavior of croakers. Although whether the position of a calling croaker could be passively localized by a dolphin remains unknown, our results indicate that the foraging probability of humpback dolphins may be elevated during the nighttime chorus of croakers. Information regarding the spatio-temporal dynamics of croaker chorus can be important for the conservation management of humpback dolphins. Further details on the predator-prey interactions between humpback dolphins and croakers can be investigated by using hydrophone arrays.

Poster (pdf)

2015台灣聲學學會第28屆學術研討會

2015/11/13

從海洋聲景探討中華白海豚的棲地特徵

 林子皓、周蓮香

國立台灣大學生態學與演化生物學研究所

Shane Guan

美國國家海洋漁業局保護資源辦公室

淺海聲景受到各地地理環境、生態群聚以及人為活動的影響而具有高度的變異性。許多海洋動物仰賴聲音訊息尋找活動方位,因此聲景可能是海洋動物棲地環境的指標之一。中華白海豚在台灣西岸的族群量少於80隻,主要使用3-15 kHz的哨聲溝通,並使用超音波的生物聲納進行回聲定位,因此聲音的感知對牠們相當重要。然而,目前仍不了解聲景是否在中華白海豚的棲地選擇中扮演重要的角色。本研究於苗栗海域利用SM2+錄音機長期收錄水下聲音,自動偵測回聲定位聲音,以了解中華白海豚的核心活動區域。長期時頻譜分析顯示,苗栗海域的聲景有明顯的日週期變化,且可在中華白海豚核心棲地與非核心棲地之間觀察到不同的頻譜特徵。核心棲地的中、高頻聲壓標準差較大,但平均值較低。顯示核心棲地的聲景特徵,以夜間的石首魚群體鳴唱,和白天較低的環境音為主。非核心棲地則有截然不同的聲景特徵,石首魚群體鳴唱較不明顯,但可偵測到大量槍蝦的寬頻脈衝聲波。未來許多離岸風力發電廠的開發工程將在西岸進行,本研究可協助相關單位了解中華白海豚棲地的海洋聲景變化。

關鍵字:中華白海豚、海洋聲景、生物音、時空變化、聲音偵測器

The soundscape in shallow marine environment displays a high level of spatial variation due to the regional change of geophysical environment, biological community, and human activity. Many marine animals rely on sounds for orientation; therefore the soundscape has been hypothesized as one of the environmental indicators. Indo-Pacific humpback dolphins in western Taiwan waters are critically endangered. The sound perception is essential for humpback dolphins, which communicate through 3-15 kHz whistles and echolocate through ultrasonic clicks. However, the importance of soundscape for their habitat selection remains unclear. In this study, SM2+ recorders were deployed in Miaoli waters to collect long-duration underwater recordings. Echolocation clicks were automatically detected to identify the core habitat of humpback dolphins. The long-term spectral average reveals that the soundscape in Miaoli waters evidently changed among the diurnal cycle. The spectral characteristic varied between the core habitat and non-core habitat. The soundscape at the core habitat was characterized by the higher standard deviations and lower means of SPL in mid- and high-frequency range. It indicates that the nighttime chorus of croakers and the low-level of ambient sound in the daytime represent the classical soundscape at the core habitat. On the contrary, the croaker chorus was less prominent at the non-core habitat. Instead, snapping shrimp sounds dominated the local soundscape. The current results can help understand the soundscape change of humpback dolphin habitat during the future development and operation of offshore wind farms.

Keywords:Sousa chinensis, marine soundscape, biological sound, temporal and spatial variations, sound detector

論文全文 (pdf)

New article online: Automatic classification of delphinids based on the representative frequencies of whistles

Our new article which introduce a new method of using representative frequency distribution to classify delphinid species has been published in the Journal of Acoustical Society of America. Please contact me if you are interested in the pdf copy or the algorithm.

Automatic classification of delphinids based on the representative frequencies of whistles

J. Acoust. Soc. Am. 138, 1003 (2015); http://dx.doi.org/10.1121/1.4927695

Tzu-Hao Lin, Lien-Siang Chou
Institute of Ecology and Evolutionary Biology, National Taiwan University, Number 1, Section 4, Roosevelt Road, Taipei 10617, Taiwan

Classification of odontocete species remains a challenging task for passive acoustic monitoring. Classifiers that have been developed use spectral features extracted from echolocation clicks and whistle contours. Most of these contour-based classifiers require complete contours to reduce measurement errors. Therefore, overlapping contours and partially detected contours in an automatic detection algorithm may increase the bias for contour-based classifiers. In this study, classification was conducted on each recording section without extracting individual contours. The local-max detector was used to extract representative frequencies of delphinid whistles and each section was divided into multiple non-overlapping fragments. Three acoustical parameters were measured from the distribution of representative frequencies in each fragment. By using the statistical features of the acoustical parameters and the percentage of overlapping whistles, correct classification rate of 70.3% was reached for the recordings of seven species (Tursiops truncatus, Delphinus delphis, Delphinus capensis, Peponocephala electra, Grampus griseus, Stenella longirostris longirostris, and Stenella attenuata) archived in MobySound.org. In addition, correct classification rate was not dramatically reduced in various simulated noise conditions. This algorithm can be employed in acoustic observatories to classify different delphinid species and facilitate future studies on the community ecology of odontocetes.