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Improving Speech Emotion Recognition Using Graph Attentive Bi-Directional Gated Recurrent Unit Network
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1080/0269993004200114openalex-snapshot
The contribution of speech rate and pitch variation to the perception of vocal emotions in a German and an American sample
inferredcites →https://doi.org/10.1109/access.2020.2967791openalex-snapshot
Speech Emotion Recognition Using 3D Convolutions and Attention-Based Sliding Recurrent Networks With Auditory Front-Ends
inferredcites →https://doi.org/10.1109/chicc.2016.7554357openalex-snapshot
A multimodal emotional communication based humans-robots interaction system
inferredcites →https://doi.org/10.1109/icassp.2019.8683293openalex-snapshot
An Interaction-aware Attention Network for Speech Emotion Recognition in Spoken Dialogs
inferredcites →https://doi.org/10.1109/taffc.2016.2515617openalex-snapshot
MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception
inferredcites →https://doi.org/10.1609/aaai.v32i1.11280openalex-snapshot
Inferring Emotion from Conversational Voice Data: A Semi-Supervised Multi-Path Generative Neural Network Approach
inferredcites →https://doi.org/10.1609/aaai.v32i1.11782openalex-snapshot
An End-to-End Deep Learning Architecture for Graph Classification
inferredcites →https://doi.org/10.1609/aaai.v32i1.12024openalex-snapshot
Multi-attention Recurrent Network for Human Communication Comprehension
inferredcites →https://doi.org/10.18653/v1/n18-1193openalex-snapshot
Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos
inferredcites →https://doi.org/10.21437/interspeech.2010-739openalex-snapshot
The INTERSPEECH 2010 paralinguistic challenge
inferredcites →https://doi.org/10.21437/interspeech.2015-336openalex-snapshot
High-level feature representation using recurrent neural network for speech emotion recognition
inferredcites →https://doi.org/10.21437/interspeech.2018-1858openalex-snapshot
Towards Temporal Modelling of Categorical Speech Emotion Recognition
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-27818-1_29openalex-snapshot
Dynamic-Static Cross Attentional Feature Fusion Method for Speech Emotion Recognition
inferred← citeshttps://doi.org/10.1007/978-3-031-94620-2_28openalex-snapshot
Improving UAV Performance in Disaster Scenario Using Deep Learning Enabled RSSI-Controlled Task Allocation
inferred← citeshttps://doi.org/10.1007/978-981-16-5188-5_15openalex-snapshot
Cross Languages One-Versus-All Speech Emotion Classifier
inferred← citeshttps://doi.org/10.1007/978-981-99-8067-3_34openalex-snapshot
CM-TCN: Channel-Aware Multi-scale Temporal Convolutional Networks for Speech Emotion Recognition
inferred← citeshttps://doi.org/10.1007/s11042-021-11839-3openalex-snapshot
A feature selection model for speech emotion recognition using clustering-based population generation with hybrid of equilibrium optimizer and atom search optimization algorithm
inferred← citeshttps://doi.org/10.1007/s11042-023-14600-0openalex-snapshot
Multimodal speech emotion recognition based on multi-scale MFCCs and multi-view attention mechanism
inferred← citeshttps://doi.org/10.1016/j.neucom.2022.05.007openalex-snapshot
Graph based emotion recognition with attention pooling for variable-length utterances
inferred← citeshttps://doi.org/10.1016/j.specom.2022.07.005openalex-snapshot
GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition
inferred← citeshttps://doi.org/10.1016/j.specom.2024.103184openalex-snapshot
AMGCN: An adaptive multi-graph convolutional network for speech emotion recognition
inferred← citeshttps://doi.org/10.1080/00051144.2024.2371249openalex-snapshot
Data augmentation using a 1D-CNN model with MFCC/MFMC features for speech emotion recognition
inferred← citeshttps://doi.org/10.1109/access.2023.3326071openalex-snapshot
Speech Emotion Recognition and Deep Learning: An Extensive Validation Using Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1109/jiot.2025.3613687openalex-snapshot
Leveraging Cross-Attention Transformer and Multifeature Fusion for Cross-Linguistic Speech Emotion Recognition
inferred← citeshttps://doi.org/10.1109/jstsp.2022.3190083openalex-snapshot
Self-Supervised Graphs for Audio Representation Learning With Limited Labeled Data
inferred← citeshttps://doi.org/10.1109/ojcs.2024.3486904openalex-snapshot
Enhancing Cross-Language Multimodal Emotion Recognition With Dual Attention Transformers
inferred← citeshttps://doi.org/10.1109/taslp.2021.3133196openalex-snapshot
Multi-View Speech Emotion Recognition Via Collective Relation Construction
inferred← citeshttps://doi.org/10.1109/taslp.2022.3171965openalex-snapshot
ISNet: Individual Standardization Network for Speech Emotion Recognition
inferred← citeshttps://doi.org/10.1109/tce.2023.3236972openalex-snapshot
Multichannel CNN-BLSTM Architecture for Speech Emotion Recognition System by Fusion of Magnitude and Phase Spectral Features Using DCCA for Consumer Applications
inferred← citeshttps://doi.org/10.1109/tce.2023.3308209openalex-snapshot
Consumer Personalized Gesture Recognition in UAV-Based Industry 5.0 Applications
inferred← citeshttps://doi.org/10.1109/tcss.2026.3692891openalex-snapshot
An Interpretable Collaborative Acoustic Parameter Modeling Network for Speech Emotion Recognition
inferred← citeshttps://doi.org/10.1145/3577190.3614177openalex-snapshot
GCFormer: A Graph Convolutional Transformer for Speech Emotion Recognition
inferred← citeshttps://doi.org/10.1145/3629606.3629665openalex-snapshot
Emotion-Aware Voice Assistants: Design, Implementation, and Preliminary Insights
inferred← citeshttps://doi.org/10.21437/interspeech.2021-1154openalex-snapshot
Graph Isomorphism Network for Speech Emotion Recognition
inferred← citeshttps://doi.org/10.21437/interspeech.2021-630openalex-snapshot
Coughing-Based Recognition of Covid-19 with Spatial Attentive ConvLSTM Recurrent Neural Networks
inferred← citeshttps://doi.org/10.21437/interspeech.2022-637openalex-snapshot
A Graph Isomorphism Network with Weighted Multiple Aggregators for Speech Emotion Recognition
inferred← citeshttps://doi.org/10.3390/electronics13112010openalex-snapshot
Speech Emotion Recognition Based on Temporal-Spatial Learnable Graph Convolutional Neural Network
inferred← citeshttps://doi.org/10.3390/electronics13214208openalex-snapshot
Graph Neural Network-Based Speech Emotion Recognition: A Fusion of Skip Graph Convolutional Networks and Graph Attention Networks
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