67 citations · 87 across the 13 of their papers we have counts for
12 papers
Decomposing Complex Questions Makes Multi-Hop QA Easier and More Interpretable
Ruiliu Fu, Han Wang, Xuejun Zhang +2
Multi-hop QA requires the machine to answer complex questions through finding multiple clues and reasoning, and provide explanatory evidence to demonstrate the machine reasoning pr…
Reminding the Incremental Language Model via Data-Free Self-Distillation
Han Wang, Ruiliu Fu, Chengzhang Li +3
Incremental language learning with pseudo-data can alleviate catastrophic forgetting in neural networks. However, to obtain better performance, former methods have higher demands f…
The HCCL Speaker Verification System for Far-Field Speaker Verification Challenge
Zhuo Li, Ce Fang, Runqiu Xiao +3
This paper describes the systems submitted by team HCCL to the Far-Field Speaker Verification Challenge. Our previous work in the AIshell Speaker Verification Challenge 2019 shows…
Improved Conformer-based End-to-End Speech Recognition Using Neural Architecture Search
Yukun Liu, Ta Li, Pengyuan Zhang +1
Recently neural architecture search(NAS) has been successfully used in image classification, natural language processing, and automatic speech recognition(ASR) tasks for finding th…
Multi-Accent Adaptation based on Gate Mechanism
Han Zhu, Li Wang, Pengyuan Zhang +1
When only a limited amount of accented speech data is available, to promote multi-accent speech recognition performance, the conventional approach is accent-specific adaptation, wh…
A Model Compression Method with Matrix Product Operators for Speech Enhancement
Xingwei Sun, Ze-Feng Gao, Zhong-Yi Lu +2
The deep neural network (DNN) based speech enhancement approaches have achieved promising performance. However, the number of parameters involved in these methods is usually enormo…