Bird Species Identification Using Audio Processing Embedded With Translator

Akassh G, Arnesh J, Jernik Galidine L
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Abstract

With their variety of vocalizations, birds contribute significantly to the acoustic fabric of our natural surroundings. Their songs and calls offer important clues in to the health of ecosystems and biodiversity. Contributions from the project include the creation of effective and trustworthy systems for classifying bird species, which may find use in ecological studies, biodiversity monitoring, and ornithology. A system like this could be useful for monitoring migratory patterns, evaluating changes in bird populations, and supporting conservation initiatives. The domains of artificial intelligence and ornithology are connected by this research. Keywords: Biodiversity, Acoustic fabric, Conservation, Vo- calizations, Ornithology
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利用嵌入翻译器的音频处理技术识别鸟类物种
鸟类以其多样的发声方式,对我们自然环境的声学结构做出了重大贡献。它们的歌声和叫声为了解生态系统和生物多样性的健康状况提供了重要线索。该项目的贡献包括建立有效和可靠的鸟类物种分类系统,可用于生态学研究、生物多样性监测和鸟类学。这样的系统可以用于监测迁徙模式,评估鸟类种群的变化,并支持保护倡议。这项研究将人工智能和鸟类学领域联系在一起。关键词:生物多样性,声学结构,保护,Vo化,鸟类学
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