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Improving Noise Robustness of Automatic Speech Recognition Based on a Parallel Adapter Model with Near-Identity Initialization

Takahiro Osaki, Yui Sudo, Katsutoshi Itoyama, Kenji Nishida, Kazuhiro Nakadai. Improving Noise Robustness of Automatic Speech Recognition Based on a Parallel Adapter Model with Near-Identity Initialization. In Hamido Fujita, Richard Cimler, Andres Hernandez-Matamoros, Moonis Ali, editors, Advances and Trends in Artificial Intelligence. Theory and Applications - 37th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2024, Hradec Kralove, Czech Republic, July 10-12, 2024, Proceedings. Volume 14748 of Lecture Notes in Computer Science, pages 454-466, Springer, 2024. [doi]

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