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    HomePR NewswireAnalyzing the Arctic's Underwater Noise with AI: Evaluating Correlation between Climate Change,...

    Analyzing the Arctic’s Underwater Noise with AI: Evaluating Correlation between Climate Change, Sound and Marine Ecology

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    SAN JOSE, Calif., Jan. 11, 2022 /PRNewswire/ — Arctic sea ice is a keystone indicator of greenhouse-gas induced global climate change, which is expected to be amplified in the Arctic. The underwater acoustic environment in the Arctic Ocean contains a great deal of unique insights such as behavioral changes of its marine species and sea ice melting. Through collaborations with Cochl, KOPRI, a research institute under the Korean Ministry of Oceans and Fisheries for scientific research of the polar regions, is exploring applying sound AI to automate some of its repetitive tasks and to derive meaningful insights from AI-based quantification of its time-series audio data for analyzing climate change, biodiversity and other environmental metrics.

    KOPRI has been actively carrying out collection of ecological data from the Arctic sea. Its recent studies include validation of the effects of the sea ice conditions on the ambient noise level, where KOPRI analyzed its data collected from underwater microphones placed off the East Siberian Sea.

    Analyzing the terabytes of acoustic data however is oftentimes a very daunting and complex task, as there is no automated system to “listen” to the sounds and extract key information such as mammal vocalizations from hundreds of hours of recordings. The complexity of the unique acoustic characteristics of the Arctic Ocean due to its unique geological features with sea ice makes it even more difficult to apply traditional acoustic monitoring techniques. Therefore, existing analysis tasks have inevitably involved biologists manually sorting out the sounds.

    Cochl is a deep tech startup advancing sound AI technology, founded by researchers in the audio and machine learning field. Cochl’s core AI model has been applied in a wide range of applications to address industry-specific problems, from smart cities, manufacturing, automotive to entertainment. For the initial phase in this collaborative research, Cochl will adapt its deep learning methods to clustering and categorizing underwater noises.

    “We hope our sound AI technology could help bring a paradigm shift in the underwater acoustics studies, and we are excited for this unique opportunity to contribute to sophisticated studies of acoustic habitats and climate change.” says Yoonchang Han, Co-founder & CEO of Cochl.

    About KOPRI: Korea Polar Research Institute (KOPRI) is a government-sponsored polar research institute of the Republic of Korea. While serving as the operator of national polar programs, KOPRI also advocates international cooperation in polar science and research. https://eng.kopri.re.kr/

    About Cochl: Cochl is a leading provider of machine listening, a category of sound AI, that leverages signal processing and machine learning for understanding environmental sounds and music. Cochl provides an off-the-shelf solution for sound analysis that enables customers to easily add sound analytics to their devices and services through cloud API & edge SDK. Cochl serves businesses and developers from a wide range of industries globally, including smart city, automotive, entertainment, manufacturing and robotics. Cochl is based in Seoul and recently opened its US office in San Jose. https://www.cochl.ai.

    Cision View original content:https://www.prnewswire.com/news-releases/analyzing-the-arctics-underwater-noise-with-ai-evaluating-correlation-between-climate-change-sound-and-marine-ecology-301452573.html

    Raaj Lokanathan
    Raaj Lokanathan
    A software engineer as a profession. A tech blogger as a passion.

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