India-made app turns impaired speech into clear speech in near-realtime
GS3Economy · S&T · Environment · Security· IT, AI, semiconductors & computing· Prelims + Mains·
Why in news
Associate Professor Vineet Gandhi of IIIT Hyderabad developed an AI-powered app that converts slurred speech from individuals with dysarthria into clear, natural-sounding speech in near-realtime.
Background
The app utilizes artificial intelligence to analyze lip movements and throat vibrations via a camera to produce intelligible speech. The development team aims to expand the technology to include regional Indian languages such as Hindi, Telugu, and Tamil.
Facts for Prelims
- BodyIIIT Hyderabad: The institution where the AI-powered speech app was developed.
- FactThe app uses camera analysis of lip movements and throat vibrations to assist communication.
For Mains
Q. Discuss how AI-driven assistive technologies can bridge the accessibility gap for persons with disabilities in India's diverse linguistic landscape.
Dimensions to cover in your answer
- Linguistic inclusivity: Overcoming the 'English-centric' bias in AI models to support regional Indian languages.
- Data sovereignty: Ensuring diverse datasets for speech patterns are ethically sourced from local populations.
- Infrastructure gap: Addressing the digital divide in accessing high-compute AI tools for real-time speech processing.
Keywords: Assistive Technology · Inclusive AI · Dysarthria · Linguistic Diversity · Digital Accessibility
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This note is generated automatically from SatyaDheesh's news feed and mapped to the UPSC CSE syllabus. Check facts against the original report or PIB before using them in an answer.