语音情感识别研究进展

C. Reshma, R. Rajasree
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引用次数: 3

摘要

人们通过言语交流信息和情感。语音情感识别在教育、客户服务、语音合成、医学分析和法医学等领域有着广泛的应用。语音情感识别系统的主要目的是正确预测语音的情感。人们提出了许多框架来识别演讲的情感内容。本文对现有的语音情感识别方法进行了分析。评价参数为特征提取和分类方法。还评估了本调查中可用方法的局限性和准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A survey on Speech Emotion Recognition
People are exchange information and emotions through speech. Emotion recognition from speech is used in many applications such as education, customer service, speech synthesis, medical analysis and forensics etc. The main aim of speech emotion recognition system is to predict the emotions correctly. Many frameworks have been proposed to recognize the emotional content of a speech. The current available speech emotion recognition methods are analyzed in this survey. The evaluating parameters are feature extraction and classification methods. Also evaluates the limitations and accuracy of available methods in this survey.
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