Deep learning for robust feature generation in audiovisual emotion recognition

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A Transfer Learning Method for Speech Emotion Recognition from Automatic Speech RecognitionPreprint

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Human Emotion Recognition Based on Spatio-Temporal Facial Features Using HOG-HOF and VGG-LSTM

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Disentanglement for Audio-Visual Emotion Recognition Using Multitask Setup

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Affect-Aware Deep Belief Network Representations for Multimodal Unsupervised Deception Detection

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A lightweight 2D CNN based approach for speaker-independent emotion recognition from speech with new Indian Emotional Speech Corpora

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An Emerging Decision Authority

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Identifying Human Behaviors Using Synchronized Audio-Visual Cues

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Musical Instrument Recognition in User-generated Videos using a Multimodal Convolutional Neural Network Architecture

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Attention-Based Multi-Modal Multi-View Fusion Approach for Driver Facial Expression Recognition

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Non-Invasive Detection of Alzheimer's Disease-Multifractality of Emotional Speech

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Fusion of multiple emotion perspectives: Improving affect recognition through integrating cross-lingual emotion information

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A Study of Deep Belief Network Based Chinese Speech Emotion Recognition

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Focal Loss based Residual Convolutional Neural Network for Speech Emotion RecognitionPreprint

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Advances in Facial Micro-Expression Detection and Recognition: A Comprehensive Review

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Emotion recognition from speech with StarGAN and Dense‐DCNN

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Common Mental Disorders in Smart City Settings and Use of Multimodal Medical Sensor Fusion to Detect Them

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Sentimental Analysis Recognition in Customer review using Novel-CNN

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MM-HGNN: Multimodal Representation Learning Heterogeneous Graph Neural Network

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Acoustic differences in emotional speech of people with dysarthria

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A Novel Speech Emotion Recognition Method via Transfer PCA and Sparse Coding

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Action Recognition Using Single-Pixel Time-of-Flight Detection

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Energy-Efficient Joint Resource Allocation Algorithms for MEC-Enabled Emotional Computing in Urban Communities

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Use of Multiple Classifier System for Gender Driven Speech Emotion Recognition

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Multimodal fusion based on information gain for emotion recognition in the wild

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When to Intervene: Detecting Abnormal Mood using Everyday Smartphone ConversationsPreprint

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Analysis of the Use of Color and Its Emotional Relationship in Visual Creations Based on Experiences during the Context of the COVID-19 Pandemic

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Sparsely Activated Networks

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Towards an “In-the-Wild” Emotion Dataset Using a Game-Based Framework

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Emotion Recognition from 3D Motion Capture Data using Deep CNNs

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Over-Sampling Emotional Speech Data Based on Subjective Evaluations Provided by Multiple Individuals

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A Self-Attentive Emotion Recognition Network

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Autonomic Feature Selection using Computational Intelligence

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An Affect Prediction Approach Through Depression Severity Parameter Incorporation in Neural Networks

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Visual affective classification by combining visual and text features

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Do you speak to a human or a virtual agent? automatic analysis of user’s social cues during mediated communication

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Deep Learning Network and Renyi-entropy Based Fusion Model for Emotion Recognition Using Multimodal Signals

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Deep Multi-Facial Patches Aggregation Network For Facial Expression RecognitionPreprint

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SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition

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Emotion Recognition in Speech with Deep Learning Architectures

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Deep Neural Networks for Depression Recognition Based on Facial Expressions Caused by Stimulus Tasks

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Learning Salient Features for Multimodal Emotion Recognition with Recurrent Neural Networks and Attention Based Fusion

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Use Empirical Mode Decomposition and Ensemble Deep Learning to Improve the Performance of Emotional Voice Recognition

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Deep Belief Network for Molecular Feature Selection in Ligand-Based Virtual Screening

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Deep Learning Our Everyday Emotions

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A dynamic fusion of features from deep learning and the HOG-TOP algorithm for facial expression recognition

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Computational Framework for Machine Fault Diagnosis with Autoencoder Variants

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Turkish Emotion Voice Database (TurEV-DB)

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Human Emotions Detection Using Hybrid CNN Approach

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Integrating Emotion Recognition with Speech Recognition and Speaker Diarisation for Conversations

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Mandarin emotion recognition based on multifractal theory towards human-robot interaction

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Deep Residual Convolutional Network for Natural Image Denoising and Brightness Enhancement

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Machine Learning Based Emotion Recognition using Speech Signal

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Could Speaker, Gender or Age Awareness be beneficial in Speech-based Emotion Recognition?

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An Audiovisual Child Emotion Recognition System for Child-Robot Interaction Applications

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RSCOEWR: Radical-Based Sentiment Classification of Online Education Website Reviews

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Multilayer Graph Node Kernels: Stacking While Maintaining Convexity

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An Effective Deep Learning Approach for Dialogue Emotion Recognition in Car-Hailing Platform

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Studies on Paralinguistic Sounds, Emotional Speech and Expressive Voices

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Deep Learning Based Emotion Recognition from Chinese Speech

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Multimodal emotion recognition using deep learning techniques

Nguyen, T. D. (2020) · Queensland University of Technology · doi:10.5204/thesis.eprints.180753 · Cited by 6

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Multimodal Dual-Graph Collaborative Network With Serial Attentive Aggregation Mechanism for Micro-Video Multi-Label Classification

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A Novel Attention-Based Multi-Modal Modeling Technique on Mixed Type Data for Improving TFT-LCD Repair Process

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Human Emotions Recognition with the Use of Speech Signal of Polish Language

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End-to-End Listening Agent for Audiovisual Emotional and Naturalistic Interactions

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Multi-Channel Auto-Encoder for Speech Emotion RecognitionPreprint

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Emotion Classification Using Advanced Machine Learning Techniques Applied to Wearable Physiological Signals Data

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From unaltered raw waveform to emotion: Synergizing convolutional and gated recurrent networks for holistic speech emotion analysis

Nfissi, A., Bouachir, W., Bouguila, N., & Mishara, B. L. (2025) · Applied Intelligence · doi:10.1007/s10489-025-06620-0 · Cited by 4

MUSIC EMOTION RECOGNITION AND CLASSIFICATION USING HYBRID CNN-LSTM DEEP NEURAL NETWORK

Dutta, J., & Chanda, D. (2024) · Bangladesh Journal of Multidisciplinary Scientific Research · doi:10.46281/bjmsr.v9i3.2230 · Cited by 4

Using a Human Interviewer or an Automatic Interviewer in the Evaluation of Patients with AD from Speech

Alonso-Hernández, J. B., Barragán-Pulido, M. L., Gil-Bordón, J. M., Ferrer, M. A., & Travieso, C. M. (2021) · Applied Sciences · doi:10.3390/app11073228 · Cited by 4

Deciphering Human Emotions in Audio with Deep Learning Networks and MFCC Spectrogram Features

Bidlaan, R. (2025) · Journal of Information Systems Engineering & Management · doi:10.52783/jisem.v10i3s.356

Spoken Emotion Recognition by Combining Deep Belief Networks and Multi-layer Perceptron

Zhang, S., Cui, Y., Chuang, Y., Guo, W., Chen, Y., & Zhao, X. (2017) · International Journal of Multimedia and Ubiquitous Engineering · doi:10.14257/ijmue.2017.12.2.08

Improving Emotion Recognition in Audio Signals: Leveraging Novel Features and Deep Learning for Improved Classification

Chaudhary, P., & Choudhary, N. (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-97-2671-4_19

Leveraging recent advances in deep learning for audio-Visual emotion recognition

Schoneveld, L., Othmani, A., & Abdelkawy, H. (2021) · Pattern Recognition Letters · doi:10.1016/j.patrec.2021.03.007 · Cited by 243

Mel-Spectrograms Based LSTM Model for Speech Emotion Recognition

Bhuyan, H. K., Brahma, B., Kamila, N. K., Peram, S. R., Leelambika, B., & Sahu, A. (2025) · Traitement du signal · doi:10.18280/ts.420312 · Cited by 11