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The Impact of Attention Mechanisms on Speech Emotion Recognition
2021
Sensors
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
doi:10.3390/s21227530
pmid:34833603
pmcid:PMC8622179
fatcat:r6njkft5hrdn3evu5gev462vzm