Aphasia is a loss or an impairment of language that is due to brain damage, which affects the production of speech and the ability to read or write. his lead to the necessity of large human resources in terms of a speech therapist and physicians, caretakers, etc. Having an automatic computer/mobile-based technology for the detection, evaluation and providing timely feedback would give a great benefit to the medical community immensely. It also speeds up the process with minimum efforts. This has motivated us to create a knowledge base to build machine learning model to understand and learn from the available data for an accurate prediction. The Automatic Speech Recognition (ASR) technology has the potential to enable individuals with aphasia using computer based conversion of spoken word to a text form. This would make it possible for language therapy software to provide feedback about the correctness of the user's spoken utterances or to engage the user in spoken dialog practice or other language therapy activities. ASR hence must be developed further in order to make it feasible for people with speech impairments.
|Title of host publication
|2018 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018
|Institute of Electrical and Electronics Engineers Inc.
|Number of pages
|Published - 30-11-2018
|7th International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018 - Bangalore, India
Duration: 19-09-2018 → 22-09-2018
|7th International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018
|19-09-18 → 22-09-18
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Information Systems