基于面部特征提取和深度学习的音乐情感识别

A. Dhar, Bilal N Shaikh Mohammad
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引用次数: 1

摘要

听音乐是一件很平常的事。现在,用户自己手动挑选音乐,也就是说,音乐必须手动选择。因此,表情识别在预测和决定用户情绪方面起着重要的作用。它使用不同的面部特征来检测情绪。在检测到某种情绪后,系统会根据情绪播放音乐。该系统采用了支持向量机、神经网络、图像预处理等机器学习技术和算法。到目前为止,研究表明使用支持向量机的准确率高达72.4%。
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Emotion Recognition with Music using Facial Feature Extraction and Deep Learning
Listening to music is a very common thing. Nowadays, users pick music manually on their own i.e. the music has to be chosen manually. So, to ease the work of the users, expression recognition plays an important role in predicting and deciding the mood. It uses different facial features to detect mood. After a certain mood is detected, the system will play music according to the mood. In this system, machine learning techniques and algorithms such as SVM, Neural Networks, Image Preprocessing are used. Till now, the research has shown accuracy up to 72.4% by using SVM.
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