Research on Real-Time Speech Emotion Recognition Framework

G. Tang, R. Liang, Jie Wang, Yue Zhu
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引用次数: 1

Abstract

Speech emotion recognition(SER) is an important research orientation in the field of artificial intelligence. In view of the current status of speech emotion recognition mainly focused on the database, a real-time SER framework is proposed. In this paper, commonly used algorithms for real-time speech processing systems are involved and briefly introduced. Finally, the validity of the model is verified through experimental verification.
实时语音情感识别框架研究
语音情感识别是人工智能领域的一个重要研究方向。针对目前语音情感识别主要集中在数据库上的现状,提出了一种实时SER框架。本文简要介绍了实时语音处理系统中常用的算法。最后,通过实验验证了模型的有效性。
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