Incorporating Speech Activity Information into Intelligent E-learning Systems
Yücel Uğurlu · 2013
We propose a new approach for e-learning systems that incorporates speech activity information to help build intelligent learning systems. The proposed algorithm is based on the pitch frequency, power amplitude, and duration of a voice activity signal. The approach was tested on users for an e-learning duration of 60 min. The robustness of the proposed algorithm was measured using various sound signals (speech, noise, and emotions) obtained from varying sources.