基于语义分析的语音情感在线识别方法研究

Research on speech emotion online recognition method based on semantic analysis

针对传统的语音情感在线识别方法存在语音信号识别准确率低、识别完整度差的问题,该文基于语义分析研究了一种新的语音情感在线识别方法。结合数据操作理论及内部信息掌控方式,以语义分析为基础,收集语音数据。综合决策树算法理论,按照语义分析数据分类语音情感信息,精准把握系统数据,较高程度上完善了在线识别条件与操作数据需求信息,提升识别的准确率,有效缩减了识别操作所需时间,增强研究的可行性及科学性,在语义分析的前提下完成语音情感识别,提高了识别程序的识别力度。实验结果表明,基于语义分析的语音情感在线识别方法能够提高信号识别准确度,与传统方法相比,识别完整度更高,可操作性更强。

Aiming at the problems of low recognition accuracy and poor recognition integrity in traditional speech emotion online recognition methods,a new speech emotion online recognition method based on semantic analysis is studied.Combined with data operation theory and internal information control mode,based on semantic analysis,voice data is collected.According to the theory of decision tree algorithm,the speech emotion information is classified according to the semantic analysis data,the system data is accurately grasped,the online recognition conditions and the operation data demand information are improved to a higher extent,the recognition accuracy is improved,the time required for the recognition operation is effectively reduced,the feasibility and scientificity of the research are enhanced,and the speech emotion recognition is completed on the premise of semantic analysis.The recognition intensity of the recognition program is increased.The experimental results show that the speech emotion online recognition method based on semantic analysis can improve the accuracy of signal recognition.Compared with the traditional method,the recognition integrity is higher and the operability is stronger.