Introduction to artificial neural systems
Introduction to artificial neural systems
E-Learning: Strategies for Delivering Knowledge in the Digital Age
E-Learning: Strategies for Delivering Knowledge in the Digital Age
Computational Intelligence: Imitating Life
Computational Intelligence: Imitating Life
An approach to usability evaluation of e-learning applications
Universal Access in the Information Society
Voice activated command and control with speech recognition over WiFi
Science of Computer Programming - Special issue: Principles and practices of programming in Java (PPPJ 2004)
User Modeling and User-Adapted Interaction
Universal access to communication and learning: the role of automatic speech recognition
Universal Access in the Information Society
Sentence recognition using artificial neural networks
Knowledge-Based Systems
E-learning systems with artificial intelligence in engineering
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Effective handwriting recognition system using geometrical character analysis algorithms
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part IV
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This paper presents a new concept of an e-learning system with intelligent two-way speech communication between the system and its users. Computational intelligence methods allow for analysis, evaluation and assessment of user's knowledge and skills and user's ability for efficient information processing. The system is also capable of control, supervision and optimization of the e-learning process. Developed as a prototype for mobile technologies, the communication system by speech and natural language between the e-learning system and external users consists of biometric user identification, speech recognition, word and sentence recognition, sentence meaning analysis, and user reaction assessment. Also discussed are selected new concepts of intelligent e-learning systems using speech communication. The discussion focuses on recognition and evaluation of spoken natural language sentences with hybrid neural networks.