Please use this identifier to cite or link to this item:
http://hdl.handle.net/11718/27192
Title: | Artificial Intelligence innovations for Indian vernacular languages |
Authors: | Pudipeddi, Manasa Goutam, Tanneru Sai |
Keywords: | Vernacular Languages;Speech Recognition;AI in India |
Issue Date: | 2022 |
Publisher: | Indian Institute of Management Ahmedabad |
Abstract: | India has the second highest Internet user base in the world. Google searching is found to be about 50% higher in non-metros compared to metros in the categories - lifestyle, fashion, beauty and even finance. Also, Indian internet users are finding comfort in browsing in regional languages and are faster in adopting a voice-based search tool. Using AI in vernacular languages in India is an active research and development area. This increased interest stems from the huge potential it brings through speech recognition, text-to-speech, sentiment analysis and language translation. AI-powered chatbots and language translators can be used in education to facilitate communication among non-native speakers of Indian languages. Similarly, text-to-speech and voice recognition systems driven by AI can be used to increase accessibility for those who have speech or hearing problems. |
URI: | http://hdl.handle.net/11718/27192 |
Appears in Collections: | Student Projects |
Files in This Item:
File | Description | Size | Format | |
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SP003597.pdf Restricted Access | SP003597 | 1.9 MB | Adobe PDF | View/Open Request a copy |
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