78 citations · 226 across the 23 of their papers we have counts for
4 papers · 1 filter
Benchmarking Evaluation Metrics for Code-Switching Automatic Speech Recognition
Injy Hamed, Amir Hussein, Oumnia Chellah +5
Code-switching poses a number of challenges and opportunities for multilingual automatic speech recognition. In this paper, we focus on the question of robust and fair evaluation m…
Learning not to Discriminate: Task Agnostic Learning for Improving Monolingual and Code-switched Speech Recognition
Gurunath Reddy Madhumani, Sanket Shah, Basil Abraham +2
Recognizing code-switched speech is challenging for Automatic Speech Recognition (ASR) for a variety of reasons, including the lack of code-switched training data. Recently, we sho…
Learning to Recognize Code-switched Speech Without Forgetting Monolingual Speech Recognition
Sanket Shah, Basil Abraham, Gurunath Reddy M +2
Recently, there has been significant progress made in Automatic Speech Recognition (ASR) of code-switched speech, leading to gains in accuracy on code-switched datasets in many lan…
End-to-End ASR for Code-switched Hindi-English Speech
Brij Mohan Lal Srivastava, Basil Abraham, Sunayana Sitaram +2
End-to-end (E2E) models have been explored for large speech corpora and have been found to match or outperform traditional pipeline-based systems in some languages. However, most p…