Publication Type : Conference Paper
Thematic Areas : Learning-Technologies
Publisher : 2016 International Conference on Computational Techniques in Information and Communication Technologies (ICCTICT) .
Source : 2016 International Conference on Computational Techniques in Information and Communication Technologies (ICCTICT) (2016)
ISBN : 9781509000821
Keywords : Acoustics, advanced speech recognition technique, Android (operating system), Computer aided instruction, Decoding, Engines, language learning systems, low cost Androids, low cost tablets, Multiple Synchronized Recognition, multiple-synchronized recognition, Pocket Sphinx, Real-Time Error Detection, Real-Time Feedback, Real-time systems, Rural Education, silence detection, Speech, Speech enhancement, speech processing, Speech recognition, technology enhanced learning
Campus : Amritapuri
School : School of Engineering
Center : Technologies & Education (AmritaCREATE), Amrita Center For Research in Analytics
Department : Computer Science
Year : 2016
Abstract : Learning to read correctly is a key requirement of language learning. In rural India, due to lack of teachers and technology, tablets offer a creative and motivating learning environment. Tablet technology has the advantage of mobility, allowing users to learn at their own pace and convenience. However, the non-availability of electricity and Internet can be unique challenges. At Amrita CREATE, language-learning solutions have been developed for students to learn and read on the tablets. It uses advanced speech recognition technique to provide feedback and intervention. Proposed system is unique in its ability to evaluate words and phrases and corrects the learner as they articulate the sentence. This system works without Internet and on the lower processing power of android tablets. Silence detection and multiple-synchronized recognition have been introduced in this paper which greatly enhance the ability to provide feedback to the user in real-time. The combination of the two helps in achieving successful recognition of longer and continuous sentence.
Cite this Research Publication : A. Jayakumar, Raghunath, M., S, S. M., S, A., Sadanandan, A., and Prof. Prema Nedungadi, “Enhancing speech recognition in developing language learning systems for low cost Androids”, in 2016 International Conference on Computational Techniques in Information and Communication Technologies (ICCTICT), 2016
