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arXiv · 2210.14501

Effect of different splitting criteria on the performance of speech emotion recognition

Bagus Tris Atmaja·Akira Sasou
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Abstract

Traditional speech emotion recognition (SER) evaluations have been performed merely on a speaker-independent condition; some of them even did not evaluate their result on this condition. This paper highlights the importance of splitting training and test data for SER by script, known as sentence-open or text-independent criteria. The results show that employing sentence-open criteria degraded the performance of SER. This finding implies the difficulties of recognizing emotion from speech in different linguistic information embedded in acoustic information. Surprisingly, text-independent criteria consistently performed worse than speaker+text-independent criteria. The full order of difficulties for splitting criteria on SER performances from the most difficult to the easiest is text-independent, speaker+text-independent, speaker-independent, and speaker+text-dependent. The gap between speaker+text-independent and text-independent was smaller than other criteria, strengthening the difficulties of recognizing emotion from speech in different sentences.

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BibTeXRIS

Bagus Tris Atmaja, Akira Sasou. 2022-10-26. Effect of different splitting criteria on the performance of speech emotion recognition. https://doi.org/10.1109/tencon54134.2021.9707265

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