论文标题
音频和视频信号的人类情感检测
Human Emotion Detection from Audio and Video Signals
论文作者
论文摘要
主要目的是教一台关于人类情绪的机器，这已成为社会智力领域的基本要求，也加快了人机相互作用的进步。机器能够理解人类情感和采取行动的能力一直是当今世界上极大的兴趣的选择。因此，未来的计算机必须能够像另一个人一样与人互动。例如，患有自闭症的人常常发现很难与某人谈论他们的心态。该模型明确针对陷入困境并且无法表达的用户群。同样，在视频质量差，反之亦然的情况下，该模型的语音处理技术还提供了情感的估计。
The primary objective is to teach a machine about human emotions, which has become an essential requirement in the field of social intelligence, also expedites the progress of human-machine interactions. The ability of a machine to understand human emotion and act accordingly has been a choice of great interest in today's world. The future generations of computers thus must be able to interact with a human being just like another. For example, people who have Autism often find it difficult to talk to someone about their state of mind. This model explicitly targets the userbase who are troubled and fail to express it. Also, this model's speech processing techniques provide an estimate of the emotion in the case of poor video quality and vice-versa.
