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Ensemble Learning With Attention-Integrated Convolutional Recurrent Neural Network for Imbalanced Speech Emotion Recognition
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/jcss.1997.1504openalex-snapshot
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
inferredcites →https://doi.org/10.1007/s10579-008-9076-6openalex-snapshot
IEMOCAP: interactive emotional dyadic motion capture database
inferredcites →https://doi.org/10.1007/s10916-016-0627-xopenalex-snapshot
Patient State Recognition System for Healthcare Using Speech and Facial Expressions
inferredcites →https://doi.org/10.1016/j.amc.2019.124631openalex-snapshot
Finite-time stabilization for positive Markovian jumping neural networks
inferredcites →https://doi.org/10.1016/j.neunet.2018.07.011openalex-snapshot
A systematic study of the class imbalance problem in convolutional neural networks
inferredcites →https://doi.org/10.1109/controlo.2018.8439829openalex-snapshot
A Software/Hardware Parallel Uniform Random Number Generation Framework
inferredcites →https://doi.org/10.1109/icassp.2013.6638947openalex-snapshot
Speech recognition with deep recurrent neural networks
inferredcites →https://doi.org/10.1109/icassp.2016.7472669openalex-snapshot
Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network
inferredcites →https://doi.org/10.1109/icme.2017.8019296openalex-snapshot
Deep convolutional recurrent neural network with attention mechanism for robust speech emotion recognition
inferredcites →https://doi.org/10.1109/ict4m.2016.067openalex-snapshot
Measuring Customer Satisfaction through Speech Using Valence-Arousal Approach
inferredcites →https://doi.org/10.1109/iscas.2004.1329238openalex-snapshot
A neural network approach for human emotion recognition in speech
inferredcites →https://doi.org/10.1109/lsp.2018.2860246openalex-snapshot
3-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition
inferredcites →https://doi.org/10.1109/slt.2012.6424267openalex-snapshot
Speech-based emotion classification using multiclass SVM with hybrid kernel and thresholding fusion
inferredcites →https://doi.org/10.1109/tcyb.2020.2996743openalex-snapshot
Finite-Time L 2 -Gain Asynchronous Control for Continuous-Time Positive Hidden Markov Jump Systems via T–S Fuzzy Model Approach
inferredcites →https://doi.org/10.1109/tpami.2018.2858826openalex-snapshot
Focal Loss for Dense Object Detection
inferredcites →https://doi.org/10.1145/1007730.1007735openalex-snapshot
A study of the behavior of several methods for balancing machine learning training data
inferredcites →https://doi.org/10.1145/1785455.1785458openalex-snapshot
A GMM based 2-stage architecture for multi-subject emotion recognition using physiological responses
inferredcites →https://doi.org/10.1613/jair.953openalex-snapshot
SMOTE: Synthetic Minority Over-sampling Technique
inferredcites →https://doi.org/10.21437/interspeech.2004-322openalex-snapshot
Emotion recognition based on phoneme classes
inferredcites →https://doi.org/10.21437/interspeech.2005-446openalex-snapshot
A database of German emotional speech
inferredcites →https://doi.org/10.21437/interspeech.2010-644openalex-snapshot
Multi-class and hierarchical SVMs for emotion recognition
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.2017-513openalex-snapshot
Investigating Bidirectional Recurrent Neural Network Language Models for Speech Recognition
inferredcites →https://doi.org/10.21437/interspeech.2019-3252openalex-snapshot
Direct Modelling of Speech Emotion from Raw Speech
inferredcites →https://doi.org/10.21437/smm.2018-5openalex-snapshot
CNN+LSTM Architecture for Speech Emotion Recognition with Data Augmentation
inferredcites →https://doi.org/10.3390/app10010205openalex-snapshot
An Ensemble Model for Multi-Level Speech Emotion Recognition
inferredcites →https://doi.org/10.3390/app10134653openalex-snapshot
Call Redistribution for a Call Center Based on Speech Emotion Recognition
inferredcites →https://doi.org/10.3390/s20010183openalex-snapshot
A CNN-Assisted Enhanced Audio Signal Processing for 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/10.2139/ssrn.4690520openalex-extracted
Research on Speech Emotion Recognition Algorithm Based on Soft Decision Trees and Contrastive Learning
inferred← citeshttps://doi.org/10.2139/ssrn.4719406openalex-extracted
Deep Multimodal K-Fold Model for Emotion and Sentiment Analysis in Figurative Language
inferred← citeshttps://doi.org/10.1007/978-981-19-0604-6_5openalex-snapshot
Ensemble Learning with CNN–LSTM Combination for Speech Emotion Recognition
inferred← citeshttps://doi.org/10.1007/978-981-97-9266-5_7openalex-snapshot
Stacking Ensemble Learning with 1D CNN and CapsuleNet for Speech Emotion Recognition
inferred← citeshttps://doi.org/10.1007/s11045-022-00845-9openalex-snapshot
Neural network-based blended ensemble learning for speech emotion recognition
inferred← citeshttps://doi.org/10.1080/1206212x.2026.2739973openalex-snapshot
DMSPC: A novel approach for meta learner selection in stacked ensemble to enhance speech emotion recognition
inferred← citeshttps://doi.org/10.1109/access.2021.3073234openalex-snapshot
Speech Emotion Analysis of Netizens Based on Bidirectional LSTM and PGCDBN
inferred← citeshttps://doi.org/10.1109/access.2022.3144486openalex-snapshot
Anti-Periodic Synchronization of Clifford-Valued Neutral-Type Recurrent Neural Networks With D Operator
inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191917openalex-snapshot
Mixed Entropy Down-Sampling based Ensemble Learning for Speech Emotion Recognition
inferred← citeshttps://doi.org/10.1155/2022/2156590openalex-snapshot
Intelligent Analysis on the Rationalization of Children’s Physical Education Curriculum Based on Recurrent Neural Networks
inferred← citeshttps://doi.org/10.17762/ijritcc.v11i9s.7743openalex-snapshot
Comprehensive Study of Automatic Speech Emotion Recognition Systems
inferred← citeshttps://doi.org/10.18280/ria.380318openalex-snapshot
Indian Cross Corpus Speech Emotion Recognition Using Multiple Spectral-Temporal-Voice Quality Acoustic Features and Deep Convolution Neural Network
inferred← citeshttps://doi.org/10.20965/jaciii.2025.p0152openalex-snapshot
Research on the Recognition of Piano-Playing Notes by a Music Transcription Algorithm
inferred← citeshttps://doi.org/10.3233/jcm-226702openalex-snapshot
Neural network-based speech fuzzy enhancement algorithm for smart home interaction
inferred← citeshttps://doi.org/10.3390/app12189188openalex-snapshot
Transformer-Based Multilingual Speech Emotion Recognition Using Data Augmentation and Feature Fusion
inferred← citeshttps://doi.org/10.3390/jimaging11080273openalex-snapshot
Bangla Speech Emotion Recognition Using Deep Learning-Based Ensemble Learning and Feature Fusion
inferred← citeshttps://doi.org/10.54097/jceim.v10i1.5756openalex-snapshot
Speech emotion recognition based on dynamic convolutional neural network
inferred← citeshttps://doi.org/10.61707/ybcg6t04openalex-snapshot
Exploring the Algorithm for Diagnosing Burnout of Counselors in Higher Vocational Colleges in Guangdong Province Based on Emotion Recognition
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