Papers with fine-tuning monolingual
PolyWER: A Holistic Evaluation Framework for Code-Switched Speech Recognition (2024.findings-emnlp)
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| Challenge: | Existing methods for measuring accuracy, such as Word Error Rate (WER), are too strict to address this challenge. |
| Approach: | They propose a framework for evaluating speech recognition systems to handle language-mixing by appending annotations to a publicly available Arabic-English code-switched dataset. |
| Outcome: | The proposed framework evaluates speech recognition systems against human judgement and a publicly available Arabic-English code-switched dataset. |