基于轻量型卷积神经网络的语音情感识别方法研究
Research on Speech Emotion Recognition Method Based on Lightweight Convolutional Neural Networks
黄荣雷1
作者信息
- 1. 广西安全工程职业技术学院,广西 南宁 530100
- 折叠
摘要
为提高语音情感识别方法的准确率,研究基于轻量型卷积神经网络的语音情感识别方法.首先分析语音情感识别的理论框架,其次分析时间卷积网络(Temporal Convolutional Network,TCN)的基本结构及具体原理,最后采用数据集进行实验.实验结果表明,基于TCN的语音情感识别方法在不同实验中具有较好的性能和有效性.
Abstract
To improve the accuracy of speech emotion recognition methods, a speech emotion recognition method based on lightweight convolutional neural networks is studied. Firstly, analyze the theoretical framework of speech emotion recognition. Secondly, analyze the basic structure and specific principles of Temporal Convolutional Network (TCN). Finally, conduct experiments using a dataset. The experimental results show that the speech emotion recognition method based on TCN has good performance and effectiveness in different experiments.
关键词
时间卷积网络(TCN)/情感识别/轻量型模型/识别框架Key words
Temporal Convolutional Network (TCN)/emotional recognition/lightweight model/identification framework引用本文复制引用
出版年
2024
NETL
NSTL
万方数据