activity
20182025
most citedTMS: A Temporal Multi-scale Backbone Design for Speaker Embedding

5 citations · 6 across the 10 of their papers we have counts for

collaborators

10 papers

cs.SD2025

Speech-to-See: End-to-End Speech-Driven Open-Set Object Detection

Wenhuan Lu, Xinyue Song, Wenjun Ke +3

Audio grounding, or speech-driven open-set object detection, aims to localize and identify objects directly from speech, enabling generalization beyond predefined categories. This…

eess.AS2025

Listening for "You": Enhancing Speech Image Retrieval via Target Speaker Extraction

Wenhao Yang, Jianguo Wei, Wenhuan Lu +2

Image retrieval using spoken language cues has emerged as a promising direction in multimodal perception, yet leveraging speech in multi-speaker scenarios remains challenging. We p…

cs.CV2024

You Only Speak Once to See

Wenhao Yang, Jianguo Wei, Wenhuan Lu +1

Grounding objects in images using visual cues is a well-established approach in computer vision, yet the potential of audio as a modality for object recognition and grounding remai…

eess.AS2024

Integrated Multi-Level Knowledge Distillation for Enhanced Speaker Verification

Wenhao Yang, Jianguo Wei, Wenhuan Lu +2

Knowledge distillation (KD) is widely used in audio tasks, such as speaker verification (SV), by transferring knowledge from a well-trained large model (the teacher) to a smaller,…

eess.AS2024

Channel Adaptation for Speaker Verification Using Optimal Transport with Pseudo Label

Wenhao Yang, Jianguo Wei, Wenhuan Lu +2

Domain gap often degrades the performance of speaker verification (SV) systems when the statistical distributions of training data and real-world test speech are mismatched. Channe…

cs.SD2024

Robust Channel Learning for Large-Scale Radio Speaker Verification

Wenhao Yang, Jianguo Wei, Wenhuan Lu +2

Recent research in speaker verification has increasingly focused on achieving robust and reliable recognition under challenging channel conditions and noisy environments. Identifyi…

cs.SD2022★ 5 cited

TMS: A Temporal Multi-scale Backbone Design for Speaker Embedding

Ruiteng Zhang, Jianguo Wei, Xugang Lu +6

Speaker embedding is an important front-end module to explore discriminative speaker features for many speech applications where speaker information is needed. Current SOTA backbon…

cs.SD2021

CS-Rep: Making Speaker Verification Networks Embracing Re-parameterization

Ruiteng Zhang, Jianguo Wei, Wenhuan Lu +4

Automatic speaker verification (ASV) systems, which determine whether two speeches are from the same speaker, mainly focus on verification accuracy while ignoring inference speed.…

cs.CR2020

Selection of the optimal embedding positions of digital audio watermarking in wavelet domain

Yangxia Hu, Maode Ma, Wenhuan Lu +2

This work studied embedding positions of digital audio watermarking in wavelet domain, to make beginners understand the nature of watermarking in a short time. Based on the theory…

cs.LG2018★ 1 cited

Scene Learning: Deep Convolutional Networks For Wind Power Prediction by Embedding Turbines into Grid Space

Ruiguo Yu, Zhiqiang Liu, Xuewei Li +4

Wind power prediction is of vital importance in wind power utilization. There have been a lot of researches based on the time series of the wind power or speed, but In fact, these…