[31] Karen Hambardzumyan, Hrant Khachatrian, and Jonathan May. Warp: Word-level adversarial reprogramming. arXiv preprint arXiv:2101.00121, 2021.
[32] Hany Hassan, Anthony Aue, Chang Chen, Vishal Chowdhary, Jonathan Clark, Christian Feder-mann, Xuedong Huang, Marcin Junczys-Dowmunt, William Lewis, Mu Li, et al. Achieving human parity on automatic chinese to english news translation. arXiv preprint arXiv:1803.05567, 2018.
[33] Ruidan He, Linlin Liu, Hai Ye, Qingyu Tan, Bosheng Ding, Liying Cheng, Jia-Wei Low, Lidong Bing, and Luo Si. On the effectiveness of adapter-based tuning for pretrained language model adaptation. arXiv preprint arXiv:2106.03164, 2021.
[34] Charles T Hemphill, John J Godfrey, and George R Doddington. The atis spoken language systems pilot corpus. In Speech and Natural Language: Proceedings of a Workshop Held at Hidden Valley, Pennsylvania, June 24-27, 1990, 1990.
[35] François Hernandez, Vincent Nguyen, Sahar Ghannay, Natalia Tomashenko, and Yannick Esteve. Ted-lium 3: Twice as much data and corpus repartition for experiments on speaker adaptation. In Speech and Computer: 20th International Conference, SPECOM 2018, Leipzig, Germany, September 18–22, 2018, Proceedings 20, pages 198–208. Springer, 2018.
[36] Pavel Hlubík, Martin Španěl, Marek Boháč, and Lenka Weingartová. Inserting punctuation to asr output in a real-time production environment. In Text, Speech, and Dialogue: 23rd International Conference, TSD 2020, Brno, Czech Republic, September 8–11, 2020, Proceedings, pages 418–425. Springer, 2020.
[37] Duc Tam Hoang, Shamil Chollampatt, and Hwee Tou Ng. Exploiting n-best hypotheses to improve an smt approach to grammatical error correction. arXiv preprint arXiv:1606.00210, 2016.
[38] Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuzhhi Li, Shean Wang, Lu Wang, and Weizhu Chen. Lora: Low-rank adaptation of large language models. arXiv preprint arXiv:2106.09685, 2021.
[39] Ke Hu, Bo Li, and Tara N Sainath. Scaling up deliberation for multilingual asr. In 2022 IEEE Spoken Language Technology Workshop (SLT), pages 771-776. IEEE, 2023.
[40] Ke Hu, Ruoming Pang, Tara N Sainath, and Trevor Strohman. Transformer based deliberation for two-pass speech recognition. In 2021 IEEE Spoken Language Technology Workshop (SLT), pages 68-74. IEEE, 2021.
[41] Ke Hu, Tara N Sainath, Ruoming Pang, and Rohit Prabhavalkar. Deliberation model based two-pass end-to-end speech recognition. In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 7799-7803. IEEE, 2020.
[42] Zhiqiang Hu, Yihuai Lan, Lei Wang, Wanyu Xu, Ee-Peng Lim, Roy Ka-Wei Lee, Lidong Bing, and Soujanya Poria. Llm-adapters: An adapter family for parameter-efficient fine-tuning of large language models. arXiv preprint arXiv:2304.01933, 2023.
[43] Hongzhao Huang and Fuchun Peng. An empirical study of efficient asr rescoring with transformers. arXiv preprint arXiv:1910.11450, 2019.
[44] Yukun Huang, Yanda Chen, Zhou Yu, and Kathleen McKeown. In-context learning distillation: Transferring few-shot learning ability of pre-trained language models. arXiv preprint arXiv:2212.10670, 2022.
[45] Jacob Kahn, Morgane Riviere, Weiyi Zheng, Evgeny Kharitonov, Qiantong Xu, Pierre-Emmanuel Mazare, Julien Karadayi, Vitaliy Liptchinsky, Ronan Collobert, Christian Fuegen, et al. Libri-light: A benchmark for asr with limited or no supervision. In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 7669-7673. IEEE, 2020.