IITG-INDIGO Submissions for Interspeech-2021 Multilingual and Code-Switching ASR Challenges for Low Resource Indian Languages
Author:
Affiliation:
1. Indian Institute of Technology,Department of Electronics and Electrical Engineering,Guwahati,India,781039
2. Indian Institute of Technology,Centre for Linguistic Science and Technology,Guwahati,India,781039
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9691480/9691481/09691549.pdf?arnumber=9691549
Reference22 articles.
1. Speech recognition and keyword spotting for low-resource languages: Babel project research at cued;gales;Fourth International workshop on spoken language technologies for under-resourced languages (SLTU-2014) International Speech Communication Association (ISCA),2014
2. Indian Languages ASR: A Multilingual Phone Recognition Framework with IPA Based Common Phone-set, Predicted Articulatory Features and Feature fusion;manjunath;InterSpeech,2018
3. Automatic Speech Recognition with Articulatory Information and a Unified Dictionary for Hindi, Marathi, Bengali and Oriya
4. Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model
5. Improving the performance of transformer based low resource speech recognition for indian languages;v m;IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP),2020
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