实用语音情感识别中的若干关键技术

本文介绍了语音情感识别领域的最新进展和今后的发展方向，特别是介绍了结合实际应用的实用语音情感识别的研究状况。主要内容包括：对情感计算研究领域的历史进行了回顾，探讨了情感计算的实际应用；对语音情感识别的一般方法进行了总结，包括情感建模、情感数据库的建立、情感特征的提取，以及情感识别算法等；结合具体应用领域的需求，对实用语音情感识别方法进行了重点分析和探讨；分析了实用语音情感识别中面临的困难，针对烦躁等实用情感，总结了实用情感语音语料库的建立、特征分析和实用语音情感建模的方法等。最后，对实用语音情感识别研究的未来发展方向进行了展望，分析了今后可能面临的问题和解决的途径。

Study on Key Technologies in Practical Speech Emotion Recognition

In this paper we introduce the latest and future progress in speech emotion recognition, especially on the practical speech emotion research considering the real world applications. We mainly discuss: the history and development of affective computing research, the practical applications in affective computing, and review the general speech emotion recognition methods, including emotion model, emotion database, feature extraction and emotion recognition algorithm. Consider the needs in real world applications, we focus on the key methods in practical speech emotion research. We analysis the current challenges in practical speech emotion recognition, especially for the fidgetiness emotion, we review the methods in database establishment, feature analysis and modeling techniques. Finally, we give the outlook of future speech emotion research, and discuss the future challenges and possible solutions.