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Muhammad Adeel1,2,3, Zhi-Yong Tao4,5, Shu-Ya Jin4,5
1Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education, Guilin University of Electronic Technology, Guilin, 541004, People's Republic of China. adeel.muhammad@guet.edu.cn.
这项研究表明,随机森林分类器在乌尔都语语音情感识别 (SER) 中达到94.53%的准确性,识别幸福,悲伤和愤怒. 这促进了对低资源语言的同情AI的发展.
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