April 2024
Intermediate to advanced
496 pages
13h 10m
English
book
Automatic Speech Recognition and Translation for Low Resource Languages
by L. Ashok Kumar, D. Karthika Renuka, Bharathi Raja Chakravarthi, Thomas Mandl
Content preview from Automatic Speech Recognition and Translation for Low Resource Languages
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2Attention-Based End-to-End Automatic Speech Recognition System for Vulnerable Individuals in Tamil
S. Suhasini1, B. Bharathi2* and Bharathi Raja Chakravarthi3
1Department of Computer Science and Engineering, R. M. D. Engineering College, Tamil Nadu, India
2Department of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of Engineering, Tamil Nadu, India
3School of Computer Science, University of Galway, Galway, Ireland
Abstract
The process of turning spoken language into written text is called automatic speech recognition (ASR). It is used in many o settings. Automatic speech recognition becomes a crucial tool when daily life is digitized. It is well known that it considerably improves the lives of the elderly and people with disabilities. Minor dysarthria, or slurred speech, is common in elderly people and those who are physically or mentally challenged, which leads to erroneous transcription of the data. In this study, we suggested creating a Tamil-language automatic voice recognition system for the elderly. The ASR system must be trained using elderly people’s speech utterances in order to increase its performance when processing elderly people’s speech. There is no Tamil speech corpus made up of elderly speakers. We recorded elderly and transgender individuals speaking Tamil on the spot. These statements were gathered from people speaking in open spaces including markets, hospitals, and vegetable shops. The speech corpus contains remarks from men, women, ...
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