activity
20182026
most citedREDAT: Accent-Invariant Representation for End-to-End ASR by Domain Adversarial Training with Relabeling

2 citations · 9 across the 13 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

eess.AS2023

Dynamic ASR Pathways: An Adaptive Masking Approach Towards Efficient Pruning of A Multilingual ASR Model

Jiamin Xie, Ke Li, Jinxi Guo +7

Neural network pruning offers an effective method for compressing a multilingual automatic speech recognition (ASR) model with minimal performance loss. However, it entails several…

eess.AS2023★ 2 cited

Prompting Large Language Models with Speech Recognition Abilities

Yassir Fathullah, Chunyang Wu, Egor Lakomkin +9

Large language models have proven themselves highly flexible, able to solve a wide range of generative tasks, such as abstractive summarization and open-ended question answering. I…