首页|Study Findings on Machine Learning Published by Researchers at Flanders Marine I nstitute (Machine learning for efficient segregation and labeling of potential biological sounds in long-term underwater recordings)
Study Findings on Machine Learning Published by Researchers at Flanders Marine I nstitute (Machine learning for efficient segregation and labeling of potential biological sounds in long-term underwater recordings)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news originating from Ostend, Belgium, by NewsRx correspondents, research stated, “Studying marine soundscapes by detec ting known sound events and quantifying their spatio-temporal patterns can provi de ecologically relevant information. However, the exploration of underwater sou nd data to find and identify possible sound events of interest can be highly tim e-intensive for human analysts. To speed up this process, we propose a novel met hodology that first detects all the potentially relevant acoustic events and the n clusters them in an unsupervised way prior to manual revision.”
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