A dual-domain guided emotion-specialized swin transformer for enhancing speech emotion recognition

Learning Multi-Scale features for speech emotion recognition with connection attention mechanism

10.1016/j.eswa.2022.118943 · doi-reference

Learning speech emotion representations in the Quaternion domain

10.1109/taslp.2023.3250840 · doi-reference

Two-Layer fuzzy multiple random forest for speech emotion recognition in Human-Robot interaction

10.1016/j.ins.2019.09.005 · doi-reference

MA-CapsNet-DA: Speech emotion recognition based on MA-CapsNet using data augmentation

10.1016/j.eswa.2023.122939 · doi-reference

A discriminative feature representation method based on cascaded attention network with adversarial strategy for speech emotion recognition

10.1109/taslp.2023.3245401 · doi-reference

Multi-Stream convolution-recurrent neural networks based on attention mechanism fusion for speech emotion recognition

10.3390/e24081025 · doi-reference

CENN: Capsule-Enhanced neural network with innovative metrics for robust speech emotion recognition

10.1016/j.knosys.2024.112499 · doi-reference

Sparse temporal aware capsule network for robust speech emotion recognition

10.1016/j.engappai.2025.110060 · doi-reference

10.21437/interspeech.2005-446

10.21437/interspeech.2005-446 · doi-reference

IEMOCAP: Interactive emotional dyadic motion capture database

10.1007/s10579-008-9076-6 · doi-reference

Neural collapse under Cross-Entropy loss

10.1016/j.acha.2021.12.011 · doi-reference

Aspect-Guided Multi-Graph convolutional networks for Aspect-based sentiment analysis

10.3724/2096-7004.di.2024.0052 · doi-reference

Speech emotion recognition via an attentive Time-Frequency neural network

10.1109/tcss.2022.3219825 · doi-reference

SpeechFormer++: A hierarchical efficient framework for paralinguistic speech processing

10.1109/taslp.2023.3235194 · doi-reference

BAT: Block and token Self-Attention for speech emotion recognition

10.1016/j.neunet.2022.09.022 · doi-reference

Hierarchical convolutional neural networks with Post-Attention for speech emotion recognition

10.1016/j.neucom.2024.128879 · doi-reference

Dual-TBNet: Improving the robustness of speech features via dual-Transformer-BiLSTM for speech emotion recognition

10.1109/taslp.2023.3282092 · doi-reference

Two-stage emotion recognition framework using CNN-Transformer architecture and speaker cues

10.1016/j.apacoust.2025.110963 · doi-reference

DSTCNet: Deep Spectro-Temporal-Channel attention network for speech emotion recognition

10.1109/tnnls.2023.3304516 · doi-reference

Pre-Attentive speech signal processing with adaptive routing for emotion recognition

10.1016/j.bspc.2025.108782 · doi-reference

Combining a parallel 2D CNN with a Self-Attention dilated residual network for CTC-Based discrete speech emotion recognition

10.1016/j.neunet.2021.03.013 · doi-reference

Enhancing intermodal interaction for unified Vision-Language understanding and generation

10.3724/2096-7004.di.2025.0034 · doi-reference

Multiscale-Multichannel feature extraction and classification through one-dimensional convolutional neural network for speech emotion recognition

10.1016/j.specom.2023.103010 · doi-reference

Speech emotion recognition based on convolutional neural network with Attention-Based bidirectional long short-term memory network and Multi-Task learning

10.1016/j.apacoust.2022.109178 · doi-reference

EIJL: Popularity prediction of social media advertisements based on multimodal emotional interaction and joint learning

10.3724/2096-7004.di.2025.0066 · doi-reference

Exploiting the potentialities of features for speech emotion recognition

10.1016/j.ins.2020.09.047 · doi-reference

Improving speech emotion recognition with adversarial data augmentation network

10.1109/tnnls.2020.3027600 · doi-reference

PulseEmoNet: Pulse emotion network for speech emotion recognition

10.1016/j.bspc.2025.107687 · doi-reference

Feature pooling of modulation spectrum features for improved speech emotion recognition in the wild

10.1109/taffc.2018.2858255 · doi-reference