Exploration of End-to-End Framework for Code-Switching Speech Recognition Task: Challenges and Enhancements

Exploration of End-to-End Framework for Code-Switching Speech Recognition Task: Challenges and Enhancements

The end-to-end (E2E) framework has emerged as a viable alternative to conventional hybrid systems in automatic speech recognition (ASR) domain. Unlike the monolingual case, the challenges faced by an E2E system in code-switching ASR task include (i) the expansion of target set to account for multipl...

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Bibliographic Details
Main Authors: Ganji Sreeram, Rohit Sinha
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Code-switching
speech recognition
end-to-end system
factored language model
target-to-word transduction
Online Access:https://ieeexplore.ieee.org/document/9058687/

Internet

https://ieeexplore.ieee.org/document/9058687/

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