Advanced Fusion-Based Speech Emotion Recognition System Using a Dual-Attention Mechanism with Conv-Caps and Bi-GRU Features
Recognizing the speaker’s emotional state from speech signals plays a very crucial role in human–computer interaction (HCI). Nowadays, numerous linguistic resources are available, but most of them contain samples of a discrete length. In this article, we address the leading challenge in Speech Emoti...
Main Authors: | Bubai Maji, Monorama Swain, Mustaqeem |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-04-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/11/9/1328 |
Similar Items
-
CLSTM: Deep Feature-Based Speech Emotion Recognition Using the Hierarchical ConvLSTM Network
by: Mustaqeem, et al.
Published: (2020-11-01) -
Classification of crop disease-pest questions based on BERT-BiGRU-CapsNet with attention pooling
by: Ting Zhang, et al.
Published: (2023-12-01) -
Ionospheric TEC Prediction Base on Attentional BiGRU
by: Dongxing Lei, et al.
Published: (2022-06-01) -
Simulation of Nanopore Sequencing Signals Based on BiGRU
by: Weigang Chen, et al.
Published: (2020-12-01) -
Spatio-Temporal Features Representation Using Recurrent Capsules for Monaural Speech Enhancement
by: Jawad Ali, et al.
Published: (2024-01-01)