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Emotion Classification from Noisy Speech - A Deep Learning Approach
Published 18 Mar 2016 in cs.HC | (1603.05901v3)
Abstract: This paper investigates the performance of Deep Learning for speech emotion classification when the speech is compounded with noise. It reports on the classification accuracy and concludes with the future directions for achieving greater robustness for emotion recognition from noisy speech.
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