Kannada Speech Recognition System for Aphasic people

Aishwarya, Jaya and Kundapur, Poornima Panduranga and Kumar, Sampath and Hareesha, K S (2018) Kannada Speech Recognition System for Aphasic people. In: ICACCI 2018, 19/09/2018, PES Institute of Technology, South Campus,Bangalore,Karnataka.

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Aphasia, ASR, Automatic Speech Recognition, speech therapy
Subjects: Engineering > MIT Manipal > Electronics and Communication
Engineering > MIT Manipal > MCA
Depositing User: MIT Library
Date Deposited: 09 Jan 2019 05:47
Last Modified: 09 Jan 2019 05:47
URI: http://eprints.manipal.edu/id/eprint/152779

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