2 papers
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…