Design of Speech Emotion Recognition Algorithm Based on Deep Learning

As a key technology of human-computer interaction, speech emotion recognition has wide application value and practical significance in various fields including criminal investigation. This paper firstly describes the research background, then introduces the technical basis of speech emotion recognition, including speech emotion description, speech signal preprocessing and short-time energy and derived parameters extraction, then, this paper proposes a deep learning-based speech emotion recognition algorithm, builds a speech emotion recognition model based on convolutional neural network, bi-directional long- and short-term memory network and multi-headed attention mechanism, which improves the human-computer interaction The efficiency and capability of speech emotion recognition in human-computer interaction devices are improved.