ELECTRA, the generator-discriminator pre-training framework, has achieve...
In this paper, we propose a language-universal adapter learning framewor...
Zero-shot cross-lingual named entity recognition (NER) aims at transferr...
Multilingual BERT (mBERT), a language model pre-trained on large multili...
This paper describes the system developed by the USTC-NELSLIP team for
S...
Cross-language pre-trained models such as multilingual BERT (mBERT) have...
Topic classification systems on spoken documents usually consist of two
...
Meta-learning (ML) has recently become a research hotspot in speaker
ver...
In this work, we introduce metric learning (ML) to enhance the deep embe...
The x-vector maps segments of arbitrary duration to vectors of fixed
dim...
This paper presents an improved deep embedding learning method based on
...
Batch normalization (BN) is an effective method to accelerate model trai...
In this paper, gating mechanisms are applied in deep neural network (DNN...
The x-vector based deep neural network (DNN) embedding systems have
demo...
The x-vector based deep neural network (DNN) embedding systems have
demo...
This paper describes the USTC-NEL system to the speech translation task ...
This paper proposes an algorithm to improve the calculation of confidenc...