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Enhancing Speech and Emotion Recognition Via Hierarchical Capsule Networks with Gated Recurrent Units and Attention Mechanism: A Comprehensive Study

https://doi.org/10.2139/ssrn.4898696
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1 of the 25 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1007/s00500-023-08224-7 (notice 2026-01-27).

Dataset join, best-effort; this page does not check the publisher record. Retraction Watch data via Crossref Labs, used with credit; OpenCitations Index (CC0) and Meta (CC BY 4.0); dataset doi:10.7910/DVN/WT8VOA (CC BY 4.0).

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/dac.5795openalex-extracted
A novel swarm intelligence‐based fuzzy logic in efficient connectivity of vehicles
inferredcites →https://doi.org/10.1007/s00500-023-08224-7openalex-extracted
RETRACTED ARTICLE: Human emotion recognition based on brain signal analysis using fuzzy neural network
inferredcites →https://doi.org/10.1007/s11571-023-10029-1openalex-extracted
Memristive patch attention neural network for facial expression recognition and edge computing
inferredcites →https://doi.org/10.1016/b978-0-12-822133-4.00009-8openalex-extracted
Speech emotion recognition using deep learning
inferredcites →https://doi.org/10.1016/j.procs.2022.11.076openalex-extracted
The architecture of the emotion recognition program by speech segments
inferredcites →https://doi.org/10.1016/j.procs.2023.01.227openalex-extracted
Speech emotion recognition system using gender dependent convolution neural network
inferredcites →https://doi.org/10.1038/s41598-024-52989-2openalex-extracted
Speech emotion recognition via graph-based representations
inferredcites →https://doi.org/10.1080/09540091.2024.2312103openalex-extracted
Knowledge enhancement for speech emotion recognition via multi-level acoustic feature
inferredcites →https://doi.org/10.1080/13682199.2023.2199504openalex-extracted
Facial emotion detection using thermal and visual images based on deep learning techniques
inferredcites →https://doi.org/10.1109/jiot.2024.3363176openalex-extracted
A Multimodal Driver Emotion Recognition Algorithm Based on the Audio and Video Signals in Internet of Vehicles Platform
inferredcites →https://doi.org/10.1155/2024/7184018openalex-extracted
Emotion Modeling in Speech Signals: Discrete Wavelet Transform and Machine Learning Tools for Emotion Recognition System
inferredcites →https://doi.org/10.1186/s13636-023-00289-4openalex-extracted
Speech emotion recognition based on emotion perception
inferredcites →https://doi.org/10.17762/ijritcc.v11i10.8472openalex-extracted
Deep Learning-Based Speech Emotion Recognition Using Librosa
inferredcites →https://doi.org/10.22214/ijraset.2025.69648openalex-extracted
Speech Emotion Recognition of Animal Vocals Using Deep Learning
inferredcites →https://doi.org/10.3390/app14041553openalex-extracted
Speech Emotion Recognition Using Deep Learning Transfer Models and Explainable Techniques
inferredcites →https://doi.org/10.3390/bdcc7030146openalex-extracted
Enhancing Speech Emotions Recognition Using Multivariate Functional Data Analysis
inferredcites →https://doi.org/10.3390/electronics12112512openalex-extracted
Speech Emotion Recognition Based on Deep Residual Shrinkage Network
inferredcites →https://doi.org/10.3390/s23031530openalex-extracted
Efficient Binary Weight Convolutional Network Accelerator for Speech Recognition
inferredcites →https://doi.org/10.3390/s24051429openalex-extracted
A New Network Structure for Speech Emotion Recognition Research
inferredcites →https://doi.org/10.36948/ijfmr.2023.v05i06.11089openalex-extracted
Speech Emotion Recognition using Deep Learning
inferredcites →https://doi.org/10.4018/978-1-6684-4945-5.ch009openalex-extracted
Speech Recognition System Implementation of a Method Based on Wave Atom Transform and Frequency-Mel Cepstral Coefficients Using SVM
inferredcites →https://doi.org/10.4018/ijcbpl.333473openalex-extracted
Emotion Detection via Voice and Speech Recognition
inferredcites →https://doi.org/10.47839/ijc.23.1.3430openalex-extracted
Speech Emotion Recognition using Hybrid Architectures
inferredcites →https://doi.org/10.48084/etasr.6004openalex-extracted
Emotion Recognition From Speech and Text using Long Short-Term Memory
inferredcites →https://doi.org/10.52783/jes.3319openalex-extracted
Deep Learning for Arabic Speech Recognition Using Convolutional Neural Networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s00530-025-02088-7openalex-snapshot
DFGAnet: a dual-branch multimodal fusion network based on graph and attention for emotion recognition in conversation
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