no code implementations • NAACL 2022 • Himanshu Maheshwari, Nethraa Sivakumar, Shelly Jain, Tanvi Karandikar, Vinay Aggarwal, Navita Goyal, Sumit Shekhar
Linearly consuming (via scrolling or navigation through default table of content) these documents is time-consuming and challenging.
no code implementations • ICON 2021 • Shelly Jain, Aditya Yadavalli, Ganesh Mirishkar, Chiranjeevi Yarra, Anil Kumar Vuppala
Due to this, automatic speech recognition (ASR) systems developed for American or British varieties of English result in poor performance on Indian English data.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 19 Dec 2022 • Shelly Jain, Priyanshi Pal, Anil Vuppala, Prasanta Ghosh, Chiranjeevi Yarra
We demonstrate the influence of 18 Indian languages on IE by comparing the native language pronunciations with IE pronunciations obtained jointly from existing literature studies and phonetically annotated speech of 80 speakers.
no code implementations • 13 Apr 2022 • Priyanshi Pal, Shelly Jain, Anil Vuppala, Chiranjeevi Yarra, Prasanta Ghosh
To address these issues, in this work, we consider a corpus, Indic TIMIT, containing a large set of IE varieties from 80 speakers from various regions of India.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1