HCMar 18, 2016
Emotion Classification from Noisy Speech - A Deep Learning Approach
arXiv:1603.05901v31 citations
AI Analysis
This addresses the problem of robust emotion recognition in noisy environments for applications like human-computer interaction, but it appears incremental as it applies existing deep learning methods to noisy data without claiming major breakthroughs.
The paper tackled emotion classification from noisy speech using deep learning, reporting classification accuracy results.
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.