15 citations · 17 across the 8 of their papers we have counts for
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cs.CL2023★ 15 cited
Exploring the Integration of Large Language Models into Automatic Speech Recognition Systems: An Empirical Study
Zeping Min, Jinbo Wang
This paper explores the integration of Large Language Models (LLMs) into Automatic Speech Recognition (ASR) systems to improve transcription accuracy. The increasing sophistication…
cs.CL2023
MAC: A unified framework boosting low resource automatic speech recognition
Zeping Min, Qian Ge, Zhong Li +1
We propose a unified framework for low resource automatic speech recognition tasks named meta audio concatenation (MAC). It is easy to implement and can be carried out in extremely…
cs.CL2023
Attention Link: An Efficient Attention-Based Low Resource Machine Translation Architecture
Zeping Min
Transformers have achieved great success in machine translation, but transformer-based NMT models often require millions of bilingual parallel corpus for training. In this paper, w…