International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 184 - Number 19 |
Year of Publication: 2022 |
Authors: Asra Masrat, Deepa Kumari, Hardika Gawde, Mohammed Ammar Makki, Yogita Borse |
10.5120/ijca2022922201 |
Asra Masrat, Deepa Kumari, Hardika Gawde, Mohammed Ammar Makki, Yogita Borse . Review on Hand Written Character Recognition and Speech Recognition Approaches. International Journal of Computer Applications. 184, 19 ( Jun 2022), 27-32. DOI=10.5120/ijca2022922201
Language is a very essential part of human connection and communication. It enables the flow of thoughts and sharing of ideas and feelings with others. Writing and speaking are the most basic ways to learn a new language. Many platforms utilize different methodologies to facilitate the learning of languages via flashcards, Speech processing, handwritten character recognition, etc. In this paper, we have presented a thorough review of different established or proposed methods for handwritten character recognition, speech processing, Testing mechanisms which could be useful for an AI-enabled language learning platform. The results of the systematic literature review has concluded prominent trends of Deep Learning and Machine Learning approaches which could aid the process of learning a language digitally.