Rao Ma

According to our database, Rao Ma authored at least 21 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Learn and Don't Forget: Adding a New Language to ASR Foundation Models.

Mengjie Qian, Siyuan Tang, Rao Ma, Kate M. Knill, Mark J. F. Gales

CoRR, 2024

Cross-Lingual Transfer Learning for Speech Translation.

Rao Ma, Yassir Fathullah, Mengjie Qian, Siyuan Tang, Mark J. F. Gales, Kate M. Knill

CoRR, 2024

Muting Whisper: A Universal Acoustic Adversarial Attack on Speech Foundation Models.

Vyas Raina, Rao Ma, Charles McGhee, Kate M. Knill, Mark J. F. Gales

CoRR, 2024

Investigating the Emergent Audio Classification Ability of ASR Foundation Models.

Rao Ma, Adian Liusie, Mark J. F. Gales, Kate M. Knill

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Towards End-to-End Spoken Grammatical Error Correction.

Stefano Bannò, Rao Ma, Mengjie Qian, Kate M. Knill, Mark J. F. Gales

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Zero-shot Audio Topic Reranking using Large Language Models.

Mengjie Qian, Rao Ma, Adian Liusie, Erfan Loweimi, Kate M. Knill, Mark J. F. Gales

CoRR, 2023

Can Generative Large Language Models Perform ASR Error Correction?

Rao Ma, Mengjie Qian, Potsawee Manakul, Mark J. F. Gales, Kate M. Knill

CoRR, 2023

Adapting an ASR Foundation Model for Spoken Language Assessment.

Rao Ma, Mengjie Qian, Mark J. F. Gales, Katherine M. Knill

Proceedings of the 9th Workshop on Speech and Language Technology in Education, 2023

Adapting an Unadaptable ASR System.

Rao Ma, Mengjie Qian, Mark J. F. Gales, Kate M. Knill

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

N-best T5: Robust ASR Error Correction using Multiple Input Hypotheses and Constrained Decoding Space.

Rao Ma, Mark J. F. Gales, Kate M. Knill, Mengjie Qian

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Internal Language Model Estimation Based Adaptive Language Model Fusion for Domain Adaptation.

Rao Ma, Xiaobo Wu, Jin Qiu, Yanan Qin, Haihua Xu, Peihao Wu, Zejun Ma

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Internal Language Model Estimation Through Explicit Context Vector Learning for Attention-based Encoder-decoder ASR.

Yufei Liu, Rao Ma, Haihua Xu, Yi He, Zejun Ma, Weibin Zhang

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

AISpeech-SJTU Accent Identification System for the Accented English Speech Recognition Challenge.

Houjun Huang, Xu Xiang, Yexin Yang, Rao Ma, Yanmin Qian

Proceedings of the IEEE International Conference on Acoustics, 2021

AISpeech-SJTU ASR System for the Accented English Speech Recognition Challenge.

Tian Tan, Yizhou Lu, Rao Ma, Sen Zhu, Jiaqi Guo, Yanmin Qian

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Prior Knowledge Driven Label Embedding for Slot Filling in Natural Language Understanding.

Su Zhu, Zijian Zhao, Rao Ma, Kai Yu

IEEE ACM Trans. Audio Speech Lang. Process., 2020

Neural Network Language Model Compression With Product Quantization and Soft Binarization.

Kai Yu, Rao Ma, Kaiyu Shi, Qi Liu

IEEE ACM Trans. Audio Speech Lang. Process., 2020

An Investigation on Different Underlying Quantization Schemes for Pre-trained Language Models.

Zihan Zhao, Yuncong Liu, Lu Chen, Qi Liu, Rao Ma, Kai Yu

Proceedings of the Natural Language Processing and Chinese Computing, 2020

Neural Lattice Search for Speech Recognition.

Rao Ma, Hao Li, Qi Liu, Lu Chen, Kai Yu

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Addressing the Polysemy Problem in Language Modeling with Attentional Multi-Sense Embeddings.

Rao Ma, Lesheng Jin, Qi Liu, Lu Chen, Kai Yu

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Unsupervised Dual Paraphrasing for Two-stage Semantic Parsing.

Ruisheng Cao, Su Zhu, Chenyu Yang, Chen Liu, Rao Ma, Yanbin Zhao, Lu Chen, Kai Yu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Highly Efficient Neural Network Language Model Compression Using Soft Binarization Training.

Rao Ma, Qi Liu, Kai Yu

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019