activity
20182025
most citediQIYI-VID: A Large Dataset for Multi-modal Person Identification

25 citations · 26 across the 7 of their papers we have counts for

collaborators

7 papers

eess.AS2025

XEmoRAG: Cross-Lingual Emotion Transfer with Controllable Intensity Using Retrieval-Augmented Generation

Tianlun Zuo, Jingbin Hu, Yuke Li +6

Zero-shot emotion transfer in cross-lingual speech synthesis refers to generating speech in a target language, where the emotion is expressed based on reference speech from a diffe…

cs.SD2025

Weakly Supervised Data Refinement and Flexible Sequence Compression for Efficient Thai LLM-based ASR

Mingchen Shao, Xinfa Zhu, Chengyou Wang +6

Despite remarkable achievements, automatic speech recognition (ASR) in low-resource scenarios still faces two challenges: high-quality data scarcity and high computational demands.…

cs.SD2024★ 1 cited

FreeV: Free Lunch For Vocoders Through Pseudo Inversed Mel Filter

Yuanjun Lv, Hai Li, Ying Yan +3

Vocoders reconstruct speech waveforms from acoustic features and play a pivotal role in modern TTS systems. Frequent-domain GAN vocoders like Vocos and APNet2 have recently seen ra…

cs.SD2023

Zero-Shot Emotion Transfer For Cross-Lingual Speech Synthesis

Yuke Li, Xinfa Zhu, Yi Lei +4

Zero-shot emotion transfer in cross-lingual speech synthesis aims to transfer emotion from an arbitrary speech reference in the source language to the synthetic speech in the targe…

eess.AS2022

Preserving background sound in noise-robust voice conversion via multi-task learning

Jixun Yao, Yi Lei, Qing Wang +6

Background sound is an informative form of art that is helpful in providing a more immersive experience in real-application voice conversion (VC) scenarios. However, prior research…

cs.CV2019

Unknown Identity Rejection Loss: Utilizing Unlabeled Data for Face Recognition

Haiming Yu, Yin Fan, Keyu Chen +4

Face recognition has advanced considerably with the availability of large-scale labeled datasets. However, how to further improve the performance with the easily accessible unlabel…

cs.CV2018★ 25 cited

iQIYI-VID: A Large Dataset for Multi-modal Person Identification

Yuanliu Liu, Bo Peng, Peipei Shi +12

Person identification in the wild is very challenging due to great variation in poses, face quality, clothes, makeup and so on. Traditional research, such as face recognition, pers…