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A Multi-Scale Fusion Framework for Bimodal Speech Emotion Recognition

https://doi.org/10.21437/interspeech.2020-3156

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What this work says

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

inferredcites →https://doi.org/10.1007/s10579-008-9076-6openalex-snapshot

IEMOCAP: interactive emotional dyadic motion capture database

inferredcites →https://doi.org/10.1109/icassp.2011.5947651openalex-snapshot

Deep neural networks for acoustic emotion recognition: Raising the benchmarks

inferredcites →https://doi.org/10.1109/icassp.2019.8682154openalex-snapshot

Dilated Residual Network with Multi-head Self-attention for Speech Emotion Recognition

inferredcites →https://doi.org/10.1109/icassp.2019.8682888openalex-snapshot

Distributed Deep Learning Strategies for Automatic Speech Recognition

inferredcites →https://doi.org/10.1109/icassp.2019.8683483openalex-snapshot

Speech Emotion Recognition Using Multi-hop Attention Mechanism

inferredcites →https://doi.org/10.1109/icassp.2019.8683510openalex-snapshot

Triggered Attention for End-to-end Speech Recognition

inferredcites →https://doi.org/10.1109/icassp.2019.8683632openalex-snapshot

Efficient Arabic Emotion Recognition Using Deep Neural Networks

inferredcites →https://doi.org/10.1109/icassp.2019.8683783openalex-snapshot

Improving Layer Trajectory LSTM with Future Context Frames

inferredcites →https://doi.org/10.1109/slt.2018.8639583openalex-snapshot

Multimodal Speech Emotion Recognition Using Audio and Text

inferredcites →https://doi.org/10.1109/taslp.2015.2487051openalex-snapshot

Towards a Small Set of Robust Acoustic Features for Emotion Recognition: Challenges

inferredcites →https://doi.org/10.18653/v1/n19-1423openalex-snapshot

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

inferredcites →https://doi.org/10.21437/interspeech.2008-192openalex-snapshot

Abandoning emotion classes - towards continuous emotion recognition with modelling of long-range dependencies

inferredcites →https://doi.org/10.21437/interspeech.2009-103openalex-snapshot

The INTERSPEECH 2009 emotion challenge

inferredcites →https://doi.org/10.21437/interspeech.2018-1132openalex-snapshot

Emotion Recognition from Human Speech Using Temporal Information and Deep Learning

inferredcites →https://doi.org/10.21437/interspeech.2018-2466openalex-snapshot

Deep Neural Networks for Emotion Recognition Combining Audio and Transcripts

inferredcites →https://doi.org/10.21437/interspeech.2018-2581openalex-snapshot

An End-to-End Deep Learning Framework for Speech Emotion Recognition of Atypical Individuals

inferredcites →https://doi.org/10.21437/interspeech.2019-3247openalex-snapshot

Learning Alignment for Multimodal Emotion Recognition from Speech

inferredcites →https://doi.org/10.48550/arxiv.1912.02610openalex-snapshot

Bimodal Speech Emotion Recognition Using Pre-Trained Language Models

inferredcites →https://doi.org/10.65215/2q58a426openalex-snapshot

Attention Is All You Need

inferredcites →https://doi.org/10.7763/jacn.2014.v2.76openalex-snapshot

Feature Extraction from Speech Data for Emotion Recognition

What points at this work

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

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inferred← citeshttps://doi.org/10.1007/978-3-032-12879-9_5openalex-snapshot

Documentary Review on Emotion Recognition in Speech Using LSTMs

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/10.1007/978-981-95-1896-8_13openalex-snapshot

Investigating the Role of Silence in Speech Emotion Recognition Systems

inferred← citeshttps://doi.org/10.1007/978-981-95-3459-3_10openalex-snapshot

Adaptive Multimodal Transformer for Personality Trait Assessment in Online Job Interviews

inferred← citeshttps://doi.org/10.1007/978-981-96-2071-5_33openalex-snapshot

TS-MEFM: A New Multimodal Speech Emotion Recognition Network Based on Speech and Text Fusion

inferred← citeshttps://doi.org/10.1007/978-981-99-8703-0_50openalex-snapshot

Speech Emotion Recognition: A Brief Review of Multi-modal Multi-task Learning Approaches

inferred← citeshttps://doi.org/10.1007/s10772-024-10089-6openalex-snapshot

Continuous feature learning representation to XGBoost classifier on the aggregation of discriminative Features using DenseNet-121 architecture and ResNet 18 architectures towards Apraxia Recognition in the Child Speech Therapy

inferred← citeshttps://doi.org/10.1007/s11042-022-14185-0openalex-snapshot

Multimodal emotion recognition from facial expression and speech based on feature fusion

inferred← citeshttps://doi.org/10.1007/s11227-022-05001-5openalex-snapshot

DBT: multimodal emotion recognition based on dual-branch transformer

inferred← citeshttps://doi.org/10.1007/s11277-023-10244-3openalex-snapshot

RETRACTED ARTICLE: Speech Emotion Recognition: A Comprehensive Survey

inferred← citeshttps://doi.org/10.1007/s11760-024-03773-2openalex-snapshot

Speech emotion recognition based on multimodal and multiscale feature fusion

inferred← citeshttps://doi.org/10.1007/s11760-026-05443-xopenalex-snapshot

Multimodal emotion recognition using cross-modal convolutional attention and multi-acoustic feature fusion

inferred← citeshttps://doi.org/10.1007/s12243-025-01088-yopenalex-snapshot

Efficient bimodal emotion recognition system based on speech/text embeddings and ensemble learning fusion

inferred← citeshttps://doi.org/10.1016/j.asoc.2024.112251openalex-snapshot

VTNet: A multi-domain information fusion model for long-term multi-variate time series forecasting with application in irrigation water level

inferred← citeshttps://doi.org/10.1016/j.neucom.2023.126436openalex-snapshot

Ensemble deep learning in speech signal tasks: A review

inferred← citeshttps://doi.org/10.1016/j.specom.2022.02.006openalex-snapshot

Multi-modal speech emotion recognition using self-attention mechanism and multi-scale fusion framework

inferred← citeshttps://doi.org/10.1016/j.specom.2025.103198openalex-snapshot

Coordination Attention based Transformers with bidirectional contrastive loss for multimodal speech emotion recognition

inferred← citeshttps://doi.org/10.1016/j.specom.2025.103285openalex-snapshot

A cross-modal attention model with contextual enhancements for speech emotion recognition

inferred← citeshttps://doi.org/10.1038/s41598-025-89202-xopenalex-snapshot

MemoCMT: multimodal emotion recognition using cross-modal transformer-based feature fusion

inferred← citeshttps://doi.org/10.1109/acait60137.2023.10528443openalex-snapshot

Applying Image Classification Model to Spectrograms for Speech Emotion Recognition

inferred← citeshttps://doi.org/10.1109/access.2022.3219094openalex-snapshot

Speech Emotion Recognition Based on Self-Attention Weight Correction for Acoustic and Text Features

inferred← citeshttps://doi.org/10.1109/access.2022.3225684openalex-snapshot

Deep Learning-Based Speech Emotion Recognition Using Multi-Level Fusion of Concurrent Features

inferred← citeshttps://doi.org/10.1109/access.2023.3325037openalex-snapshot

Deep Learning Approaches for Bimodal Speech Emotion Recognition: Advancements, Challenges, and a Multi-Learning Model

inferred← citeshttps://doi.org/10.1109/access.2025.3559339openalex-snapshot

BiMER: Design and Implementation of a Bimodal Emotion Recognition System Enhanced by Data Augmentation Techniques

inferred← citeshttps://doi.org/10.1109/acii52823.2021.9597419openalex-snapshot

End-to-End Speech Emotion Recognition: Challenges of Real-Life Emergency Call Centers Data Recordings

inferred← citeshttps://doi.org/10.1109/aciiw52867.2021.9666308openalex-snapshot

Emotion Recognition In Emergency Call Centers: The challenge of real-life emotions

inferred← citeshttps://doi.org/10.1109/acit58888.2023.10453875openalex-snapshot

A Novel Deep Learning Multi-Modal Sentiment Analysis Model for English and Egyptian Arabic Dialects Using Audio and Text

inferred← citeshttps://doi.org/10.1109/apsipaasc58517.2023.10317160openalex-snapshot

Hybrid Multi-Task Learning for End-To-End Multimodal Emotion Recognition

inferred← citeshttps://doi.org/10.1109/ccdc62350.2024.10587851openalex-snapshot

Research on Emotion Prediction Based on Emotional Changes in Dialogue Scenarios

inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9746598openalex-snapshot

Key-Sparse Transformer for Multimodal Speech Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10095798openalex-snapshot

Knowledge-Aware Bayesian Co-Attention for Multimodal Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096709openalex-snapshot

Exploring Complementary Features in Multi-Modal Speech Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icme55011.2023.00295openalex-snapshot

A Joint Network Based on Interactive Attention for Speech Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icsp62122.2024.10743748openalex-snapshot

Multimodal Emotion Recognition Method Based on MAT-MER

inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191258openalex-snapshot

Multimodal Chinese Event Extraction on Text and Audio

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/pacrim61180.2024.10690221openalex-snapshot

Cross-Attention Dual-Stream Fusion for Speech Emotion Recognition

inferred← citeshttps://doi.org/10.1109/smc53992.2023.10394418openalex-snapshot

Multimodal Speech Emotion Recognition Using Modality-Specific Self-Supervised Frameworks

inferred← citeshttps://doi.org/10.1109/taffc.2022.3221801openalex-snapshot

Estimating the Uncertainty in Emotion Class Labels With Utterance-Specific Dirichlet Priors

inferred← citeshttps://doi.org/10.1109/taslp.2023.3316458openalex-snapshot

TDFNet: Transformer-Based Deep-Scale Fusion Network for Multimodal Emotion Recognition

inferred← citeshttps://doi.org/10.1109/tcsvt.2023.3247822openalex-snapshot

Semantic Alignment Network for Multi-Modal Emotion Recognition

inferred← citeshttps://doi.org/10.1111/exsy.13764openalex-snapshot

Improving Teacher Training Through Emotion Recognition and Data Fusion

inferred← citeshttps://doi.org/10.1117/12.3009468openalex-snapshot

Multimodal emotion recognition based on multilevel acoustic and textual information

inferred← citeshttps://doi.org/10.1145/3529466.3529488openalex-snapshot

Speech Emotion Recognition Exploiting ASR-based and Phonological Knowledge Representations

inferred← citeshttps://doi.org/10.1145/3536220.3558038openalex-snapshot

Investigating Transformer Encoders and Fusion Strategies for Speech Emotion Recognition in Emergency Call Center Conversations.

inferred← citeshttps://doi.org/10.1145/3773365.3773421openalex-snapshot

AutoGen-Powered Multi-Agent Framework for Interpretable Multimodal Emotion Recognition

inferred← citeshttps://doi.org/10.12677/airr.2024.132038openalex-snapshot

A Speech Emotion Recognition Model Based on Gated Recurrent Units (GRU) and Multi-Head Attention Mechanism

inferred← citeshttps://doi.org/10.1587/transinf.2021edl8002openalex-snapshot

A Two-Stage Attention Based Modality Fusion Framework for Multi-Modal Speech Emotion Recognition

inferred← citeshttps://doi.org/10.21203/rs.3.rs-4098870/v1openalex-snapshot

TFC-SpeechFormer: Efficient Emotion Recognition Based on Deep Speech Analysis and Hierarchical Progressive Structures

inferred← citeshttps://doi.org/10.21437/interspeech.2021-809openalex-snapshot

Audio-Visual Speech Emotion Recognition by Disentangling Emotion and Identity Attributes

inferred← citeshttps://doi.org/10.21437/interspeech.2022-10230openalex-snapshot

Multi-level Fusion of Wav2vec 2.0 and BERT for Multimodal Emotion Recognition

inferred← citeshttps://doi.org/10.23919/apsipaasc55919.2022.9980183openalex-snapshot

I Feel Stressed Out: A Mandarin Speech Stress Dataset with New Paradigm

inferred← citeshttps://doi.org/10.3389/fcomp.2023.1072479openalex-snapshot

Multistage linguistic conditioning of convolutional layers for speech emotion recognition

inferred← citeshttps://doi.org/10.3389/fpsyg.2021.669780openalex-snapshot

Inferring Association Between Alcohol Addiction and Defendant's Emotion Based on Sound at Court

inferred← citeshttps://doi.org/10.3389/frai.2023.1091443openalex-snapshot

Masking important information to assess the robustness of a multimodal classifier for emotion recognition

inferred← citeshttps://doi.org/10.3390/app11177962openalex-snapshot

Deep Multimodal Emotion Recognition on Human Speech: A Review

inferred← citeshttps://doi.org/10.3390/app142411494openalex-snapshot

Speech Emotion Recognition Using Multi-Scale Global–Local Representation Learning with Feature Pyramid Network

inferred← citeshttps://doi.org/10.3390/electronics12071534openalex-snapshot

MMATERIC: Multi-Task Learning and Multi-Fusion for AudioText Emotion Recognition in Conversation

inferred← citeshttps://doi.org/10.3390/electronics13112191openalex-snapshot

Speech Emotion Recognition Using Dual-Stream Representation and Cross-Attention Fusion

inferred← citeshttps://doi.org/10.3390/electronics14050844openalex-snapshot

Acoustic Feature Excitation-and-Aggregation Network Based on Multi-Task Learning for Speech Emotion Recognition

inferred← citeshttps://doi.org/10.3390/electronics14153047openalex-snapshot

Graph Convolution-Based Decoupling and Consistency-Driven Fusion for Multimodal Emotion Recognition

inferred← citeshttps://doi.org/10.3390/s24051429openalex-snapshot

A New Network Structure for Speech Emotion Recognition Research

inferred← citeshttps://doi.org/10.34133/2022/9805707openalex-snapshot

Accurate Solar Wind Speed Prediction with Multimodality Information

inferred← citeshttps://doi.org/10.48550/arxiv.2104.10121openalex-snapshot

On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era

inferred← citeshttps://doi.org/10.48550/arxiv.2110.14957openalex-snapshot

End-to-End Speech Emotion Recognition: Challenges of Real-Life Emergency Call Centers Data Recordings

inferred← citeshttps://doi.org/10.70675/e79c9094z72f1z479dzbf7dza45ee7d0c3bbopenalex-snapshot

Social Emotion Recognition with multimodal deep learning architecture in emergency call centers

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