67 citations · 158 across the 22 of their papers we have counts for
6 papers · 1 filter
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…
Wav2vec-S: Semi-Supervised Pre-Training for Low-Resource ASR
Han Zhu, Li Wang, Jindong Wang +3
Self-supervised pre-training could effectively improve the performance of low-resource automatic speech recognition (ASR). However, existing self-supervised pre-training are task-a…
A Novel Blind Source Separation Framework Towards Maximum Signal-To-Interference Ratio
Jianju Gu, Longbiao Cheng, Dingding Yao +2
This letter proposes a new blind source separation (BSS) framework termed minimum variance independent component analysis (MVICA), which can potentially achieve the maximum output…
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…