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The experimental results show that the proposed scheme improves the emotion recognition accuracy.
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The results demonstrate the effectiveness of our approach and show that our approach can substantially improve the emotion prediction performance.
From the results, it is clear that the utterance reduction methods can improve the emotion recognition results than that without utterance reduction models.
To improve the emotion recognition accuracy, we propose a class-specific multiple classifiers scheme, which is designed by multiple parallel classifiers, each of which is optimized to a class.
To improve the emotion in your singing, you can make faces that show that emotion.
The main purpose of this study was to investigate whether a manualized emotion-regulation training (Integrative Training of Emotional Competencies; iTEC; Berking, 2010a) can improve the emotion-regulation skills of police officers.
Compared to the two methods using the uni-modal parameters individually, the results confirm that the compensation between the two channels in the bimodal method improves the performance of emotion recognition.
The neuropeptide oxytocin improves the performance in facial emotion recognition tests in healthy volunteers and in individuals with schizophrenia.
In addition, incorporating familiarity information into the process of building an emotion classifier can possibly improve the performance of emotion estimation, which represents yet another avenue for future work.
In this study, we proposed a new adaptive method for fusing multiple emotional modalities to improve the performance of the emotion recognition system.
The results show that the utterance-independent methods improve the results of the emotion recognition, especially for confusing emotions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com