Emotion Classification from Noisy Speech - A Deep Learning Approach
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 18 Mar 2016.
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