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arXiv · 1009.0117

Exploring Language-Independent Emotional Acoustic Features via Feature Selection

Arslan Shaukat·Ke Chen
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Abstract

We propose a novel feature selection strategy to discover language-independent acoustic features that tend to be responsible for emotions regardless of languages, linguistics and other factors. Experimental results suggest that the language-independent feature subset discovered yields the performance comparable to the full feature set on various emotional speech corpora.

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Arslan Shaukat, Ke Chen. 2010-09-01. Exploring Language-Independent Emotional Acoustic Features via Feature Selection. https://arxiv.org/abs/1009.0117

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