9 citations · 18 across the 4 of their papers we have counts for
4 papers
Semi-Supervised Online Learning on the Edge by Transforming Knowledge from Teacher Models
Jiabin Xue
Edge machine learning (Edge ML) enables training ML models using the vast data distributed across network edges. However, many existing approaches assume static models trained cent…
Reducing the gap between streaming and non-streaming Transducer-based ASR by adaptive two-stage knowledge distillation
Haitao Tang, Yu Fu, Lei Sun +8
Transducer is one of the mainstream frameworks for streaming speech recognition. There is a performance gap between the streaming and non-streaming transducer models due to limited…
A Multi-Task Learning Framework for Overcoming the Catastrophic Forgetting in Automatic Speech Recognition
Jiabin Xue, Jiqing Han, Tieran Zheng +2
Recently, data-driven based Automatic Speech Recognition (ASR) systems have achieved state-of-the-art results. And transfer learning is often used when those existing systems are a…
Hard Sample Mining for the Improved Retraining of Automatic Speech Recognition
Jiabin Xue, Jiqing Han, Tieran Zheng +2
It is an effective way that improves the performance of the existing Automatic Speech Recognition (ASR) systems by retraining with more and more new training data in the target dom…