6 citations · 14 across the 9 of their papers we have counts for
9 papers
PartMotionEdit: Fine-Grained Text-Driven 3D Human Motion Editing via Part-Level Modulation
Yujie Yang, Zhichao Zhang, Jiazhou Chen +1
Existing text-driven 3D human motion editing methods have demonstrated significant progress, but are still difficult to precisely control over detailed, part-specific motions due t…
Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement
Yujie Yang, Bing Yang, Xiaofei Li
Online multichannel speech enhancement has been intensively studied recently. Though Mel-scale frequency is more matched with human auditory perception and computationally efficien…
CleanMel: Mel-Spectrogram Enhancement for Improving Both Speech Quality and ASR
Nian Shao, Rui Zhou, Pengyu Wang +4
In this work, we propose CleanMel, a single-channel Mel-spectrogram denoising and dereverberation network for improving both speech quality and automatic speech recognition (ASR) p…
Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning
Hang Zhou, Yehui Tang, Haochen Qin +5
The efficacy of large language models (LLMs) on downstream tasks usually hinges on instruction tuning, which relies critically on the quality of training data. Unfortunately, colle…
RealMAN: A Real-Recorded and Annotated Microphone Array Dataset for Dynamic Speech Enhancement and Localization
Bing Yang, Changsheng Quan, Yabo Wang +7
The training of deep learning-based multichannel speech enhancement and source localization systems relies heavily on the simulation of room impulse response and multichannel diffu…
DenseMamba: State Space Models with Dense Hidden Connection for Efficient Large Language Models
Wei He, Kai Han, Yehui Tang +4
Large language models (LLMs) face a daunting challenge due to the excessive computational and memory requirements of the commonly used Transformer architecture. While state space m…
A robust audio deepfake detection system via multi-view feature
Yujie Yang, Haochen Qin, Hang Zhou +4
With the advancement of generative modeling techniques, synthetic human speech becomes increasingly indistinguishable from real, and tricky challenges are elicited for the audio de…
SAM-DiffSR: Structure-Modulated Diffusion Model for Image Super-Resolution
Chengcheng Wang, Zhiwei Hao, Yehui Tang +4
Diffusion-based super-resolution (SR) models have recently garnered significant attention due to their potent restoration capabilities. But conventional diffusion models perform no…
McNet: Fuse Multiple Cues for Multichannel Speech Enhancement
Yujie Yang, Changsheng Quan, Xiaofei Li
In multichannel speech enhancement, both spectral and spatial information are vital for discriminating between speech and noise. How to fully exploit these two types of information…