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Code-Switching ASR for Low-Resource Indic Languages: A Hindi-Marathi Case Study

This work examines the development of Automatic Speech Recognition (ASR) systems for low-resource languages, focusing on Hindi and Marathi, particularly in multilingual and code-switching environments. ASR systems, which convert spoken language into text, face significant challenges when applied to...

Whakaahuatanga katoa

I tiakina i:
Ngā kaituhi matua: Hemant Palivela, Meera Narvekar, David Asirvatham, Shashi Bhushan, Vinay Rishiwal, Udit Agarwal
Hōputu: Artigo
Reo:Inglês
I whakaputaina: IEEE 2025-01-01
Rangatū:IEEE Access
Ngā marau:
Code-switching
automatic speech recognition
low-resource languages
Hindi
Marathi
Indic languages
Urunga tuihono:https://ieeexplore.ieee.org/document/10835062/
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