Fusion-ConvBERT: Parallel Convolution and BERT Fusion for Speech Emotion Recognition

Fusion-ConvBERT: Parallel Convolution and BERT Fusion for Speech Emotion Recognition

Speech emotion recognition predicts the emotional state of a speaker based on the person’s speech. It brings an additional element for creating more natural human–computer interactions. Earlier studies on emotional recognition have been primarily based on handcrafted features and manual labels. With...

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Bibliographic Details
Main Authors: Sanghyun Lee, David K. Han, Hanseok Ko
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Sensors
Subjects:
speech emotion recognition
bidirectional encoder representations from transformers (BERT)
convolutional neural networks (CNNs)
transformer
representation
spatiotemporal representation
Online Access:https://www.mdpi.com/1424-8220/20/22/6688

Internet

https://www.mdpi.com/1424-8220/20/22/6688

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