2 citations · 2 across the 4 of their papers we have counts for
4 papers
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…
Why the pseudo label based semi-supervised learning algorithm is effective?
Zeping Min, Qian Ge, Cheng Tai
Recently, pseudo label based semi-supervised learning has achieved great success in many fields. The core idea of the pseudo label based semi-supervised learning algorithm is to us…
SAN: a robust end-to-end ASR model architecture
Zeping Min, Qian Ge, Guanhua Huang
In this paper, we propose a novel Siamese Adversarial Network (SAN) architecture for automatic speech recognition, which aims at solving the difficulty of fuzzy audio recognition.…
10 hours data is all you need
Zeping Min, Qian Ge, Zhong Li
We propose a novel procedure to generate pseudo mandarin speech data named as CAMP (character audio mix up), which aims at generating audio from a character scale. We also raise a…