A BiLSTM–Transformer and 2D CNN Architecture for Emotion Recognition from Speech

A BiLSTM–Transformer and 2D CNN Architecture for Emotion Recognition from Speech

The significance of emotion recognition technology is continuing to grow, and research in this field enables artificial intelligence to accurately understand and react to human emotions. This study aims to enhance the efficacy of emotion recognition from speech by using dimensionality reduction algo...

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Bibliographic Details
Main Authors: Sera Kim, Seok-Pil Lee
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Electronics
Subjects:
emotion recognition from speech
transformer
attention mechanism
bidirectional LSTM
convolutional neural network
audio feature extraction
Online Access:https://www.mdpi.com/2079-9292/12/19/4034

Internet

https://www.mdpi.com/2079-9292/12/19/4034

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