Work

Incorporating Speech Activity Information into Intelligent E-learning Systems

Year: 2013

Type: conference-paper

Abstract: 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.

Source: International Conference on Intelligent Systems and Image Processing (ICISIP)

DOI: 10.12792/icisip2013.038

Author: Yucel Ugurlu

Institution: The University of Tokyo

Language: English

Topic: Intelligent Tutoring Systems and Adaptive Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: hybrid

OpenAlex ID: W2004975136

FWCI: 0.215

Cites: 9

Cited by: 1

Related to: 10