Knowledge Distillation from Multiple Foundation Models for End-to-End
Speech Recognition

Knowledge Distillation from Multiple Foundation Models for End-to-End Speech Recognition

20 March 2023

Xiaoyu Yang

Papers citing "Knowledge Distillation from Multiple Foundation Models for End-to-End Speech Recognition"

5 / 5 papers shown

Title
MT2KD: Towards A General-Purpose Encoder for Speech, Speaker, and Audio Events Xiaoyu Yang Qiujia Li Chao Zhang P. Woodland 18 0 0 25 Sep 2024
Potentials of the Metaverse for Robotized Applications in Industry 4.0 and Industry 5.0 E. Kaigom 25 2 0 31 Mar 2024
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu C. L. P. Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 86 85 0 27 Jun 2023
Predicting Multi-Codebook Vector Quantization Indexes for Knowledge Distillation Liyong Guo Xiaoyu Yang Quandong Wang Yuxiang Kong Zengwei Yao ... Wei Kang Long Lin Mingshuang Luo Piotr Żelasko Daniel Povey VLM 17 7 0 31 Oct 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016