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Fusion of Wavelet Scattering Transform and Conventional Features for Robust Speech Emotion Recognition
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inferredcites →https://doi.org/10.1007/978-3-031-87775-9_34openalex-snapshot
Emotional Features in Speech: A Deep Scattering-Based Analysis
inferredcites →https://doi.org/10.1007/978-981-97-7426-5_22openalex-snapshot
A 3D CNN Model with Multi-feature Fusion for Enhancing Human Emotion Recognition from Speech
inferredcites →https://doi.org/10.1016/j.bspc.2020.101894openalex-snapshot
Speech emotion recognition with deep convolutional neural networks
inferredcites →https://doi.org/10.1016/j.eswa.2023.122939openalex-snapshot
MA-CapsNet-DA: Speech emotion recognition based on MA-CapsNet using data augmentation
inferredcites →https://doi.org/10.1016/j.inffus.2023.101847openalex-snapshot
Emotion recognition from unimodal to multimodal analysis: A review
inferredcites →https://doi.org/10.1016/j.ins.2019.09.005openalex-snapshot
Two-layer fuzzy multiple random forest for speech emotion recognition in human-robot interaction
inferredcites →https://doi.org/10.1016/j.neunet.2021.08.030openalex-snapshot
Working Memory Connections for LSTM
inferredcites →https://doi.org/10.1038/s41598-024-63776-4openalex-snapshot
An enhanced speech emotion recognition using vision transformer
inferredcites →https://doi.org/10.1109/access.2024.3506565openalex-snapshot
Speech Emotion Recognition via Sparse Learning-Based Fusion Model
inferredcites →https://doi.org/10.1109/aiccsa63423.2024.10912574openalex-snapshot
Multilevel Wavelet Transform for Facial Emotion Recognition
inferredcites →https://doi.org/10.1109/cicn49253.2020.9242635openalex-snapshot
Prediction of Emotions from the Audio Speech Signals using MFCC, MEL and Chroma
inferredcites →https://doi.org/10.1109/comnetsat63286.2024.10862901openalex-snapshot
Facial Emotion Recognition Using Wavelet Scattering Transform And Deep Learning Techniques
inferredcites →https://doi.org/10.1109/isivc61350.2024.10577886openalex-snapshot
Multi-features learning via Attention-BLSTM for Speech Emotion Recognition
inferredcites →https://doi.org/10.1109/jiot.2025.3613687openalex-snapshot
Leveraging Cross-Attention Transformer and Multifeature Fusion for Cross-Linguistic Speech Emotion Recognition
inferredcites →https://doi.org/10.1109/mmsp48831.2020.9287061openalex-snapshot
Wavelet Scattering Transform and CNN for Closed Set Speaker Identification
inferredcites →https://doi.org/10.1109/tnnls.2021.3084827openalex-snapshot
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
inferredcites →https://doi.org/10.1155/2022/7785929openalex-snapshot
Research on Feature Fusion Speech Emotion Recognition Technology for Smart Teaching
inferredcites →https://doi.org/10.11591/eei.v11i6.4287openalex-snapshot
Multi-feature stacking order impact on speech emotion recognition performance
inferredcites →https://doi.org/10.19139/soic-2310-5070-2521openalex-snapshot
A Hybrid Approach of Long Short Term Memory and Transformer Models for Speech Emotion Recognition
inferredcites →https://doi.org/10.21437/interspeech.2005-446openalex-snapshot
A database of German emotional speech
inferredcites →https://doi.org/10.2991/978-94-6463-471-6_80openalex-snapshot
A Multi-Feature Approach with Data Augmentation for Speech Emotion Recognition using Deep Learning
inferredcites →https://doi.org/10.3390/app11114782openalex-snapshot
Make Patient Consultation Warmer: A Clinical Application for Speech Emotion Recognition
inferredcites →https://doi.org/10.3390/electronics12040839openalex-snapshot
Speech Emotion Recognition Based on Multiple Acoustic Features and Deep Convolutional Neural Network
inferredcites →https://doi.org/10.3390/s24175704openalex-snapshot
Fusion of PCA and ICA in Statistical Subset Analysis for Speech Emotion Recognition
inferredcites →https://doi.org/10.3991/ijes.v9i2.22983openalex-snapshot
An Analysis of the Impact of Spectral Contrast Feature in Speech Emotion Recognition
inferredcites →https://doi.org/10.48550/arxiv.2411.09189openalex-snapshot
Improvement and Implementation of a Speech Emotion Recognition Model Based on Dual-Layer LSTM
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