most citedEnsembles of Generative Adversarial Networks

41 citations · 41 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2023

Efficient Human-AI Coordination via Preparatory Language-based Convention

Cong Guan, Lichao Zhang, Chunpeng Fan +6

Developing intelligent agents capable of seamless coordination with humans is a critical step towards achieving artificial general intelligence. Existing methods for human-AI coord…

cs.IR2023

DisCover: Disentangled Music Representation Learning for Cover Song Identification

Jiahao Xun, Shengyu Zhang, Yanting Yang +7

In the field of music information retrieval (MIR), cover song identification (CSI) is a challenging task that aims to identify cover versions of a query song from a massive collect…

cs.CL2023

AV-TranSpeech: Audio-Visual Robust Speech-to-Speech Translation

Rongjie Huang, Huadai Liu, Xize Cheng +8

Direct speech-to-speech translation (S2ST) aims to convert speech from one language into another, and has demonstrated significant progress to date. Despite the recent success, cur…

eess.AS2023

AlignSTS: Speech-to-Singing Conversion via Cross-Modal Alignment

Ruiqi Li, Rongjie Huang, Lichao Zhang +2

The speech-to-singing (STS) voice conversion task aims to generate singing samples corresponding to speech recordings while facing a major challenge: the alignment between the targ…

cs.CL2023

Learning Robust Self-attention Features for Speech Emotion Recognition with Label-adaptive Mixup

Lei Kang, Lichao Zhang, Dazhi Jiang

Speech Emotion Recognition (SER) is to recognize human emotions in a natural verbal interaction scenario with machines, which is considered as a challenging problem due to the ambi…

cs.CV201641 cited

Ensembles of Generative Adversarial Networks

Yaxing Wang, Lichao Zhang, Joost van de Weijer

Ensembles are a popular way to improve results of discriminative CNNs. The combination of several networks trained starting from different initializations improves results signific…