融合说话者特征的个性化自然语音情感识别  

PERSONALIZED NATURAL SPEECH EMOTION RECOGNITION BASED ON SPEAKER CHARACTERISTICS

作　　者：贾宁[1] 郑纯军[1,2] 孙伟 Jia Ning;Zheng Chunjun;Sun Wei(Dalian Neusoft University of Information,Dalian 116023,Liaoning,China;Dalian Maritime University,Dalian 116023,Liaoning,China)

机构地区：[1]大连东软信息学院,辽宁大连116023 [2]大连海事大学,辽宁大连116023

出　　处：《计算机应用与软件》2022年第12期201-207,共7页Computer Applications and Software

基　　金：辽宁省自然科学基金项目(20180551068)。

摘　　要：情感特征的高级表示与说话者的个性化特征之间存在较强相关性,因此以提升个性化情感识别精度为目标,设计一组融合说话者特征和语音情感特征的识别模型,利用卷积神经网络模型获取说话者类别,在融合说话人特征高阶表达的基础上,利用卷积循环神经网络训练个性化情感识别模型,结合自建的成人自然情感语料库,在多项语音情感语料库上测试识别模型性能,从而验证该模型的有效性。There is a strong correlation between the high-level representation of emotional features and the speaker’s personalized features. Therefore, in order to improve the accuracy of personalized emotion recognition, we design a group of recognition models which integrate speaker features and speech emotion features. The convolution neural network model was used to obtain the speaker category. Based on the high-order representation of the speaker’s features, we adopted the convolutional recurrent neural network to train the personalized emotion recognition model. Combined with the self-built adult natural emotion corpus, we tested the performance of the recognition model on multiple speech emotion corpus to verify the effectiveness of the model.

关 键 词：语音情感识别 说话者特征 卷积循环神经网络 语谱图 个性化模型 成人自然情感语料库 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术] TP183