研究者使用人工智能分析狗的声音, 旨在将树皮翻译为基于背景的人类可理解的字眼。 Researchers use AI to analyze dog sounds, aiming to translate barks into human-understandable words based on context.

阿灵顿得克萨斯大学的研究人员, 由电脑科学教授朱领头, 正在使用人工智能分析狗的声响, Researchers at the University of Texas at Arlington, led by computer science professor Zhu, are using artificial intelligence to analyze dog vocalizations, aiming to translate barks and whines into human-understandable words by identifying patterns linked to specific contexts like "cat" or "leash." 该项目在鲸鱼通信研究的启发下,审查了数百小时的音频和视频,注意到品种和年龄的差异,并探索通过声音变化进行健康监测的可能性。 The project, inspired by whale communication research, examines hundreds of hours of audio and video, noting variations by breed and age, and explores potential health monitoring through vocal changes. 密歇根大学和弗吉尼亚技术大学也在进行类似的努力,而AI驱动的宠物装置声称可以解释动物的声音。 Similar efforts are underway at the University of Michigan and Virginia Tech, while AI-powered pet devices claim to interpret animal sounds. 这项工作扩展到猫和牛,目标是通过通信分析改善动物福祉评估。 The work extends to cats and cattle, with the goal of improving animal well-being assessment through communication analysis.