End-to-End Speech Recognition for Low Resource Language Sanskrit using Self-Supervised Learning-Reference-Cited by-同舟云学术

End-to-End Speech Recognition for Low Resource Language Sanskrit using Self-Supervised Learning

Published:2022-03-24 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)
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Author:

Holla S. Shashank¹,Kumar T.N. Mahesh¹,Hiretanad Jeevan Revaneppa²,Deepak K.T.²,Narasimhadhan A. V.¹

Affiliation:

1. National Institute of Technology,Department of Electronics and Communication Engineering,Surathkal,Karnataka

2. Indian Institute of Information Technology,Department of Electronics and Communication Engineering,Dharwad,Karnataka

Publisher

IEEE

Link

Reference15 articles.

1. KenLM: Faster and smaller language model Queries;heafield;Proc of the Workshop on Statistical Machine Translation,2011

3. Applying wav2vec2. 0 to Speech Recognition in various low-resource languages;yi;CoRR,2020

4. Sanskrit Speech Recognition using Hidden Markov Model Toolkit;pokhariya;International Journal of Engineering Research and Technology (IJERT),2014

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