ArticleSensors (Basel, Switzerland)2021
The Impact of Attention Mechanisms on Speech Emotion Recognition.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Representation learning with parameterised quantum circuits for advancing speech emotion recognition.Scientific reports · 2025Article
- The data visualization and intelligent text analysis for effective evaluation of English language teaching.Scientific reports · 2025Article
- An intelligent agriculture management system for rainfall prediction and fruit health monitoring.Scientific reports · 2024Article
- Speech emotion classification using attention based network and regularized feature selection.Scientific reports · 2023Article
- Speech Emotion Recognition Using Convolution Neural Networks and Multi-Head Convolutional Transformer.Sensors (Basel, Switzerland) · 2023Article
- Semisupervised Semantic Segmentation with Mutual Correction Learning.Computational intelligence and neuroscience · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Speech emotion recognition (SER) plays an important role in real-time applications of human-machine interaction. The Attention Mechanism is widely used to improve the performance of SER. However, the applicable rules of attention mechanism are not deeply discussed. This paper discussed the difference between Global-Attention and Self-Attention and explored their applicable rules to SER classification construction. The experimental results show that the Global-Attention can improve the accuracy of the sequential model, while the Self-Attention can improve the accuracy of the parallel model when conducting the model with the CNN and the LSTM. With this knowledge, a classifier (CNN-LSTM×2+Global-Attention model) for SER is proposed. The experiments result show that it could achieve an accuracy of 85.427% on the EMO-DB dataset.
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Registered trials
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