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cs.CL2025
CS-FLEURS: A Massively Multilingual and Code-Switched Speech Dataset
Brian Yan, Injy Hamed, Shuichiro Shimizu +24
We present CS-FLEURS, a new dataset for developing and evaluating code-switched speech recognition and translation systems beyond high-resourced languages. CS-FLEURS consists of 4…
cs.CL2023★ 1 cited
Evaluating Self-Supervised Speech Representations for Indigenous American Languages
Chih-Chen Chen, William Chen, Rodolfo Zevallos +1
The application of self-supervision to speech representation learning has garnered significant interest in recent years, due to its scalability to large amounts of unlabeled data.…
cs.CL2022
Benchmarking Azerbaijani Neural Machine Translation
Chih-Chen Chen, William Chen
Little research has been done on Neural Machine Translation (NMT) for Azerbaijani. In this paper, we benchmark the performance of Azerbaijani-English NMT systems on a range of tech…