Speech Emotion Recognition Using Deep Learning Techniques

Apoorva Ganapathy
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引用次数: 21

Abstract

The developments in neural systems and the high demand requirement for exact and close actual Speech Emotion Recognition in human-computer interfaces mark it compulsory to liken existing methods and datasets in speech emotion detection to accomplish practicable clarifications and a securer comprehension of this unrestricted issue. The present investigation assessed deep learning methods for speech emotion detection with accessible datasets, tracked by predictable machine learning methods for SER. Finally, we present-day a multi-aspect assessment between concrete neural network methods in SER. The objective of this investigation is to deliver a review of the area of distinct SER.
使用深度学习技术的语音情感识别
神经系统的发展和对人机界面中精确和接近的实际语音情感识别的高要求,使得有必要对语音情感检测中的现有方法和数据集进行比较,以实现对这一不受限制的问题的切实澄清和更安全的理解。本研究利用可访问的数据集评估了语音情感检测的深度学习方法,并通过可预测的机器学习方法对SER进行了跟踪。最后,我们对具体的神经网络方法进行了多方面的评价。本研究的目的是对不同SER的区域进行回顾。
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