UTA Researchers Use Machine Learning to Decode Dog Communication
Kenny Zhu, PhD, a professor of computer science and engineering at The University of Texas at Arlington The prospect of understanding your dog's response to "Who's a good boy?" is becoming more plausible thanks to groundbreaking research led by Kenny Zhu, a computer science and engineering professor at The University of Texas at Arlington. Zhu's project, funded by a $483,804 National Science Foundation (NSF) Research Experiences for Undergraduates site grant, aims to translate dog sounds into phonetic representations and, eventually, words using machine learning. This NSF-funded project not only contributes to understanding animal communication but also provides valuable research opportunities for undergraduate students from various disciplines, including computer science, engineering, biology, and animal behavior. These students will participate in data collection, video submission, and the transcription process, gaining hands-on experience with big data analysis and machine learning applications in novel fields.
UTA Researchers Use Machine Learning to Decode Dog Communication
