Development of Speech Interface for Form-filling application in Five Indian languages
Implementing Organization
Indian Institute of Technology (IIT)
Principal Investigator
Dr. K. Sreenivasa Rao
Professor
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Department of Mechanical Engineering, Indian Institute of Technology (IIT), Kharagpur, West Bengal
Department of Computer Science & Engineering
CO-Principal Investigator
Dr. K. Sri Rama Murty
Department of Mechanical and Aerospace Engineering, Indian Institute of Technology (IIT), Hyderabad, Telangana
CO-Principal Investigator
Dr. S. R. M. Prasanna
Professor
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Prof. Manmohan Pandey, Department of Machanical Enginnering, Indian Institute of Technology (IIT), Guwahati, Assam
Department of Electronics and Electrical Engineering
CO-Principal Investigator
Dr. Priyankoo Sarmah
Associate Professor
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Prof. Manmohan Pandey, Department of Machanical Enginnering, Indian Institute of Technology (IIT), Guwahati, Assam
Department of Humanities and Social Sciences
CO-Principal Investigator
Dr. Shrivastava Abhishek
Prof. Manmohan Pandey, Department of Machanical Enginnering, Indian Institute of Technology (IIT), Guwahati, Assam
CO-Principal Investigator
Dr. M. Sabarimalai Manikandan
School of Basic Sciences, Indian Institute of Technology (IIT), Bhubaneswar, Odisha
CO-Principal Investigator
Dr. Pabitra Mitra
Department of Electrical Engineering, Indian Institute of Technology (IIT), Kharagpur, West Bengal
Project Overview
This project is aimed at developing and deploying speech interface for form-filling application (SiFA), which replaces the traditional keyboard for entering the responses. The proposed system interacts with the user in his/her mother tongue, in order to fill the responses. The SiFA system prompts the user with queries generated using a text-to-speech synthesis system, recognizes the user responses using an ASR system, and fills the form. We propose to develop modular framework for filling different fields in the forms, like name, address, date of birth etc., each of which may in turn involve several subfields, so that it can be easily deployed across the domains including, but not limited to, healthcare, education, governance, banking, etc. Since the proposed system is based purely on speech communication, it can help in taking the fruits of modern digitization techniques to the rural public, as well as the visually challenged population. The proposed system will be demonstrated in five different Indian languages, viz., Assamese, Bengali, Hindi, Odia and Telugu, as proof of the concept, and can be extended to other languages as well.
Indian Institute of Technology (IIT)
Professor
Department of Computer Science & Engineering
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