‘Speech Technologies for North Eastern Languages’ will be used to make speech technology tools for disseminating health information.
The project aims to use speech technology to spread health information in Hindi, English, Assamese, Bangla, Bodo, Manipuri, Khasi, Mizo, Nagamese, and Nepali. It will be possible to use the Spoken Keyword Spotting (KWS) systems made in the project to find a list of words in a speech signal of one of the target languages. The goal is to make speech models with deep neural network-based state-of-the-art techniques.
- In seven North East Indian languages, the instruments will allow healthcare information retrieval through spoken keyword spotting.
- The project will also build a health database in seven North East Indian languages.
- This project will allow people in remote North-East India to receive healthcare information in their local language.
- Sinha also cited the Centre for Linguistic Science and Technology (CLST), a unique and fully interdisciplinary center dedicated to language analysis and technology development in North East India.
- The project’s Spoken Keyword Spotting (KWS) systems will be able to detect a list of predefined terms in a speech signal of one of the project’s targets languages.
People at the Indian Institute of Technology Guwahati are working on a project called “Speech Technologies for North Eastern Languages” to make speech technology tools for disseminating healthcare information. Using spoken keyword spotting (KWS) in seven North East Indian languages, the tools will make it easier to find information about health and medicine.
Health information in seven languages spoken in North East India will also be put into a database as part of the project. In the long run, this project is supposed to make it easier for people in the farthest parts of North East India to get information about health care in their languages.
IIT Guwahati has a Center for Linguistic Science and Technology (CLST) that helps people learn new languages. The government of India has given this project money through its “National Language Translation Mission (NLTM): BHASHINI” initiative.
Prof. T.G. Sitharam, the Director of IIT Guwahati, said that this project shows how IIT Guwahati wants to help the languages and cultures of North East India. The project is multidisciplinary and focuses on local languages, which is how the National Education Policy, 2020, wants it to go.
This project is about making speech technology tools for people who speak Hindi, English, Assamese, Bangla, Bodo, Manipuri, Khasi, Mizo, Nagamese, and Nepali to spread health information.
An IIT Guwahati professor working on this project said, “The Institute wants to build tools that will help people in the NE area stay connected and get information in their language.” This project is called “Last-mile connectivity.” This project will be a step toward that goal.”
Prof. Sinha said that the Center for Linguistic Science and Technology (CLST) is a unique and truly interdisciplinary center that focuses on the analysis and development of technology in the languages of North East India through research projects and its Ph.D. program.
KWS systems will be able to find a list of predefined words in a given speech signal of one of the languages that the project is working with. With the help of deep neural network-based state-of-the-art techniques, we will try to model speech.
Prof. Rohit Sinha, Prof. Priyankoo Sarmah, Sanasam Ranbir Singh, and Ashish Anand are on the CLST team from IIT Guwahati. They are all from different fields. Part of a larger project called Speech Technologies for Indian Languages, led by IIT Madras as the consortium leader. This project is a part of that project.
During a project in the North East, the IIT Guwahati team will work with research teams from CDAC-Kolkata, IIIT Sri City, and NIT Manipur, among other places.
IIT-G researchers developing speech tech for N-E languages. https://t.co/1lTT1JXKMi @TheAsianAgeNews @DeccanChronicle @IITGuwahati @iitmadras @diprassam @PIB_India @PMOIndia pic.twitter.com/FDeQOOLj6o— Manoj Anand (@manojananda) March 30, 2022