语音情绪识别技术在载人航天领域的应用

The Application of Acoustic Emotion Recognition Technology in Manned Spaceflights

在航天飞行环境应激因素的影响下,航天员容易出现烦躁、焦虑、紧张、低警觉等情绪改变,这些改变会在语音中有所体现,通过语音情绪识别技术可以监测航天员的情绪变化。基于载人航天应用的实际需求,本研究建立了应激情绪语料库,并通过特征提取、高斯混合模型(GMM)方法搭建了语音情绪识别模型和软件平台,对该模型下语音情绪识别准确度进行了验证。

Under the various stress factors in the spaceflight environment, astronauts are prone to emotional changes such as irritability, anxiety, nervousness, and low alertness. These changes can be reflected in their voice and could be monitored with the voice and emotion recognition technology Based on the actual needs of manned spaceflights, this paper establishes a stress-induced emotions corpus, and develops an acoustic emotion recognition model and software platform through feature extraction and the Gaussian mixture model （GMM）. The accuracy of the acoustic emotion recognition model is also tested.