45 citations · 131 across the 25 of their papers we have counts for
11 papers · 1 filter
Waveform Boundary Detection for Partially Spoofed Audio
Zexin Cai, Weiqing Wang, Ming Li
The present paper proposes a waveform boundary detection system for audio spoofing attacks containing partially manipulated segments. Partially spoofed/fake audio, where part of th…
The DKU-DukeECE Diarization System for the VoxCeleb Speaker Recognition Challenge 2022
Weiqing Wang, Xiaoyi Qin, Ming Cheng +3
This paper discribes the DKU-DukeECE submission to the 4th track of the VoxCeleb Speaker Recognition Challenge 2022 (VoxSRC-22). Our system contains a fused voice activity detectio…
Target-Speaker Voice Activity Detection via Sequence-to-Sequence Prediction
Ming Cheng, Weiqing Wang, Yucong Zhang +2
Target-speaker voice activity detection is currently a promising approach for speaker diarization in complex acoustic environments. This paper presents a novel Sequence-to-Sequence…
Online Target Speaker Voice Activity Detection for Speaker Diarization
Weiqing Wang, Qingjian Lin, Ming Li
This paper proposes an online target speaker voice activity detection system for speaker diarization tasks, which does not require a priori knowledge from the clustering-based diar…
Few-Shot Non-Parametric Learning with Deep Latent Variable Model
Zhiying Jiang, Yiqin Dai, Ji Xin +2
Most real-world problems that machine learning algorithms are expected to solve face the situation with 1) unknown data distribution; 2) little domain-specific knowledge; and 3) da…
An Input-Queueing TSN Switching Architecture to Achieve Zero Packet Loss for Timely Traffic
Ming Li, Lei Deng, Yunghsiang S. Han
Zero packet loss with bounded latency is necessary for many applications, such as industrial control networks, automotive Ethernet, and aircraft communication systems. Traditional…
Identifying Source Speakers for Voice Conversion based Spoofing Attacks on Speaker Verification Systems
Danwei Cai, Zexin Cai, Ming Li
An automatic speaker verification system aims to verify the speaker identity of a speech signal. However, a voice conversion system could manipulate a person's speech signal to mak…
Simultaneous Speech Extraction for Multiple Target Speakers under the Meeting Scenarios
Bang Zeng, Hongbing Suo, Yulong Wan +1
The common target speech separation directly estimate the target source, ignoring the interrelationship between different speakers at each frame. We propose a multiple-target speec…
The HCCL-DKU system for fake audio generation task of the 2022 ICASSP ADD Challenge
Ziyi Chen, Hua Hua, Yuxiang Zhang +2
The voice conversion task is to modify the speaker identity of continuous speech while preserving the linguistic content. Generally, the naturalness and similarity are two main met…
Invertible Voice Conversion
Zexin Cai, Ming Li
In this paper, we propose an invertible deep learning framework called INVVC for voice conversion. It is designed against the possible threats that inherently come along with voice…
pvCNN: Privacy-Preserving and Verifiable Convolutional Neural Network Testing
Jiasi Weng, Jian Weng, Gui Tang +3
This paper proposes a new approach for privacy-preserving and verifiable convolutional neural network (CNN) testing, enabling a CNN model developer to convince a user of the truthf…