10 citations · 20 across the 10 of their papers we have counts for
10 papers
Language-Universal Adapter Learning with Knowledge Distillation for End-to-End Multilingual Speech Recognition
Zhijie Shen, Wu Guo, Bin Gu
In this paper, we propose a language-universal adapter learning framework based on a pre-trained model for end-to-end multilingual automatic speech recognition (ASR). For acoustic…
On the Stability and Generalization of Triplet Learning
Jun Chen, Hong Chen, Xue Jiang +4
Triplet learning, i.e. learning from triplet data, has attracted much attention in computer vision tasks with an extremely large number of categories, e.g., face recognition and pe…
Multi-Level Contrastive Learning for Cross-Lingual Alignment
Beiduo Chen, Wu Guo, Bin Gu +2
Cross-language pre-trained models such as multilingual BERT (mBERT) have achieved significant performance in various cross-lingual downstream NLP tasks. This paper proposes a multi…
Topic Classification on Spoken Documents Using Deep Acoustic and Linguistic Features
Tan Liu, Wu Guo, Bin Gu
Topic classification systems on spoken documents usually consist of two modules: an automatic speech recognition (ASR) module to convert speech into text and a text topic classific…
Bidirectional Multiscale Feature Aggregation for Speaker Verification
Jiajun Qi, Wu Guo, Bin Gu
In this paper, we propose a novel bidirectional multiscale feature aggregation (BMFA) network with attentional fusion modules for text-independent speaker verification. The feature…
Improved Meta-Learning Training for Speaker Verification
Yafeng Chen, Wu Guo, Bin Gu
Meta-learning has recently become a research hotspot in speaker verification (SV). We introduce two methods to improve the meta-learning training for SV in this paper. For the firs…