An Empirical Study of Consistency Regularization for End-to-End Speech-to-Text Translation

An Empirical Study of Consistency Regularization for End-to-End Speech-to-Text Translation Pengzhi Gao author Ruiqing Zhang author Zhongjun He author Hua Wu author Haifeng Wang author 2024-06 text Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) Kevin Duh editor Helena Gomez editor Steven Bethard editor Association for Computational Linguistics Mexico City, Mexico conference publication gao-etal-2024-empirical 10.18653/v1/2024.naacl-long.14 https://aclanthology.org/2024.naacl-long.14/ 2024-06 242 256