Acoustic Identification of Dolphin Whistle Types in Deep Waters of Arabian Sea Using Wavelet Threshold Denoising Approach
In situ time series measurements of ocean ambient noise, have been made in deep waters of the Arabian Sea, using an autonomous passive acoustic monitoring system deployed as part of the Ocean Moored buoy network in the Northern Indian Ocean (OMNI) buoy mooring operated by the National Institute of O...
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| Format: | Article |
| Language: | English |
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Institute of Fundamental Technological Research
2023-03-01
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| Series: | Archives of Acoustics |
| Subjects: | |
| Online Access: | https://journals.pan.pl/Content/126384/PDF/aoa.2023.144264.pdf |
| _version_ | 1797869250622259200 |
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| author | Madan M. Mahanty Sanjana M. Cheenankandy Ganesan Latha Govindan Raguraman Ramasamy Venkatesan |
| author_facet | Madan M. Mahanty Sanjana M. Cheenankandy Ganesan Latha Govindan Raguraman Ramasamy Venkatesan |
| author_sort | Madan M. Mahanty |
| collection | DOAJ |
| description | In situ time series measurements of ocean ambient noise, have been made in deep waters of the Arabian Sea, using an autonomous passive acoustic monitoring system deployed as part of the Ocean Moored buoy network in the Northern Indian Ocean (OMNI) buoy mooring operated by the National Institute of Ocean Technology (NIOT), in Chennai during November 2018 to November 2019. The analysis of ambient noise records during the spring (April–June) showed the presence of dolphin whistles but contaminated by unwanted impulsive shackle noise. The frequency contours of the dolphin whistles occur in narrow band in the range 4–16 kHz. However, the unwanted impulsive shackle noise occurs in broad band with the noise level higher by ∼20 dB over the dolphin signals, and it reduces the quality of dolphin whistles. A wavelet based threshold denoising technique followed by a subtraction method is implemented. Reduction of unwanted shackle noise is effectively done and different dolphin whistle types are identified. This wavelet denoising approach is demonstrated for extraction of dolphin whistles in the presence of challenging impulsive shackle noise. Furthermore, this study should be useful for identifying other cetacean species when the signal of interest is interrupted by unwanted mechanical noise. |
| first_indexed | 2024-04-10T00:09:39Z |
| format | Article |
| id | doaj.art-2aaf0630b45a4ee69628c1c037bf2337 |
| institution | Directory Open Access Journal |
| issn | 0137-5075 2300-262X |
| language | English |
| last_indexed | 2024-04-10T00:09:39Z |
| publishDate | 2023-03-01 |
| publisher | Institute of Fundamental Technological Research |
| record_format | Article |
| series | Archives of Acoustics |
| spelling | doaj.art-2aaf0630b45a4ee69628c1c037bf23372023-03-16T12:07:11ZengInstitute of Fundamental Technological ResearchArchives of Acoustics0137-50752300-262X2023-03-01vol. 48No 13948https://doi.org/10.24425/aoa.2023.144264Acoustic Identification of Dolphin Whistle Types in Deep Waters of Arabian Sea Using Wavelet Threshold Denoising ApproachMadan M. Mahanty0Sanjana M. Cheenankandy1Ganesan Latha2Govindan Raguraman3Ramasamy Venkatesan4National Institute of Ocean Technology, Ministry of Earth Sciences, Chennai, IndiaNational Institute of Ocean Technology, Ministry of Earth Sciences, Chennai, IndiaNational Institute of Ocean Technology, Ministry of Earth Sciences, Chennai, IndiaNational Institute of Ocean Technology, Ministry of Earth Sciences, Chennai, IndiaNational Institute of Ocean Technology, Ministry of Earth Sciences, Chennai, IndiaIn situ time series measurements of ocean ambient noise, have been made in deep waters of the Arabian Sea, using an autonomous passive acoustic monitoring system deployed as part of the Ocean Moored buoy network in the Northern Indian Ocean (OMNI) buoy mooring operated by the National Institute of Ocean Technology (NIOT), in Chennai during November 2018 to November 2019. The analysis of ambient noise records during the spring (April–June) showed the presence of dolphin whistles but contaminated by unwanted impulsive shackle noise. The frequency contours of the dolphin whistles occur in narrow band in the range 4–16 kHz. However, the unwanted impulsive shackle noise occurs in broad band with the noise level higher by ∼20 dB over the dolphin signals, and it reduces the quality of dolphin whistles. A wavelet based threshold denoising technique followed by a subtraction method is implemented. Reduction of unwanted shackle noise is effectively done and different dolphin whistle types are identified. This wavelet denoising approach is demonstrated for extraction of dolphin whistles in the presence of challenging impulsive shackle noise. Furthermore, this study should be useful for identifying other cetacean species when the signal of interest is interrupted by unwanted mechanical noise.https://journals.pan.pl/Content/126384/PDF/aoa.2023.144264.pdfdeep water ambient noisearabian seawavelet threshold denoisingimpulsive shackle noisedolphin whistle types |
| spellingShingle | Madan M. Mahanty Sanjana M. Cheenankandy Ganesan Latha Govindan Raguraman Ramasamy Venkatesan Acoustic Identification of Dolphin Whistle Types in Deep Waters of Arabian Sea Using Wavelet Threshold Denoising Approach Archives of Acoustics deep water ambient noise arabian sea wavelet threshold denoising impulsive shackle noise dolphin whistle types |
| title | Acoustic Identification of Dolphin Whistle Types in Deep Waters of Arabian Sea Using Wavelet Threshold Denoising Approach |
| title_full | Acoustic Identification of Dolphin Whistle Types in Deep Waters of Arabian Sea Using Wavelet Threshold Denoising Approach |
| title_fullStr | Acoustic Identification of Dolphin Whistle Types in Deep Waters of Arabian Sea Using Wavelet Threshold Denoising Approach |
| title_full_unstemmed | Acoustic Identification of Dolphin Whistle Types in Deep Waters of Arabian Sea Using Wavelet Threshold Denoising Approach |
| title_short | Acoustic Identification of Dolphin Whistle Types in Deep Waters of Arabian Sea Using Wavelet Threshold Denoising Approach |
| title_sort | acoustic identification of dolphin whistle types in deep waters of arabian sea using wavelet threshold denoising approach |
| topic | deep water ambient noise arabian sea wavelet threshold denoising impulsive shackle noise dolphin whistle types |
| url | https://journals.pan.pl/Content/126384/PDF/aoa.2023.144264.pdf |
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