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1,652 results on '"Zhu, Ge"'

56. An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure Systems

Author

Zhang, You, Zhu, Ge, Jiang, Fei, and Duan, Zhiyao

Subjects
Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Sound
Abstract

Spoofing countermeasure (CM) systems are critical in speaker verification; they aim to discern spoofing attacks from bona fide speech trials. In practice, however, acoustic condition variability in speech utterances may significantly degrade the performance of CM systems. In this paper, we conduct a cross-dataset study on several state-of-the-art CM systems and observe significant performance degradation compared with their single-dataset performance. Observing differences of average magnitude spectra of bona fide utterances across the datasets, we hypothesize that channel mismatch among these datasets is one important reason. We then verify it by demonstrating a similar degradation of CM systems trained on original but evaluated on channel-shifted data. Finally, we propose several channel robust strategies (data augmentation, multi-task learning, adversarial learning) for CM systems, and observe a significant performance improvement on cross-dataset experiments., Comment: 5 pages, 6 figures, in Proc. INTERSPEECH 2021

Published
2021

57. Spatial-Temporal Analysis of Street Patrol Cases in Zhengzhou, China, Using Getis-Ord Gi* and Space-Time Cube

Author

Jiang, Yirui, Zhao, Shan, Li, Hongwei, Lei, Juan, He, Linqing, Zhu, Ge, Bu, Jiatian, Dou, Runliang, Editor-in-Chief, Liu, Jing, Editor-in-Chief, Khasawneh, Mohammad T., Editor-in-Chief, Balas, Valentina Emilia, Series Editor, Bhowmik, Debashish, Series Editor, Khan, Khalil, Series Editor, Masehian, Ellips, Series Editor, Mohammadi-Ivatloo, Behnam, Series Editor, Nayyar, Anand, Series Editor, Pamucar, Dragan, Series Editor, Shu, Dewu, Series Editor, Akhtar, Nadeem, editor, Draman, Azah Kamilah, editor, and Abdollah, Mohd Faizal, editor

Published
2023
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58. DPNet: Depth and Pose Net for Novel View Synthesis via Depth Map Estimation

Author

Zhu, Ge, Liu, Yu, Wang, Yumei, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Gao, Feifei, editor, Wu, Jun, editor, Li, Yun, editor, and Gao, Honghao, editor

Published
2023
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59. Generalizing Voice Presentation Attack Detection to Unseen Synthetic Attacks and Channel Variation

Author

Zhang, You, Jiang, Fei, Zhu, Ge, Chen, Xinhui, Duan, Zhiyao, Singh, Sameer, Founding Editor, Kang, Sing Bing, Series Editor, Bischof, Horst, Advisory Editor, Bowden, Richard, Advisory Editor, Dickinson, Sven, Advisory Editor, Jia, Jiaya, Advisory Editor, Lee, Kyoung Mu, Advisory Editor, Lin, Zhouchen, Advisory Editor, Sato, Yoichi, Advisory Editor, Schiele, Bernt, Advisory Editor, Sclaroff, Stan, Advisory Editor, Marcel, Sébastien, editor, Fierrez, Julian, editor, and Evans, Nicholas, editor

Published
2023
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67. Y-Vector: Multiscale Waveform Encoder for Speaker Embedding

Author

Zhu, Ge, Jiang, Fei, and Duan, Zhiyao

Subjects
Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Sound
Abstract

State-of-the-art text-independent speaker verification systems typically use cepstral features or filter bank energies as speech features. Recent studies attempted to extract speaker embeddings directly from raw waveforms and have shown competitive results. In this paper, we propose a novel multi-scale waveform encoder that uses three convolution branches with different time scales to compute speech features from the waveform. These features are then processed by squeeze-and-excitation blocks, a multi-level feature aggregator, and a time delayed neural network (TDNN) to compute speaker embedding. We show that the proposed embeddings outperform existing raw-waveform-based speaker embeddings on speaker verification by a large margin. A further analysis of the learned filters shows that the multi-scale encoder attends to different frequency bands at its different scales while resulting in a more flat overall frequency response than any of the single-scale counterparts., Comment: Accepted by Interspeech 2021

Published
2020

69. Action towards universal health coverage and social protection for tuberculosis care and prevention: Workshop on the end TB strategy pillar 2 in the Western Pacific region 2017

Author

Oh, Kyung Hyun, Rahevar, Kalpeshsinh, Nishikiori, Nobuyuki, Viney, Kerri, Choi, Hongjo, Biermann, Olivia, Kim, Hee Jin, Nou, Chanly, Samoeun, Kim, Zhu, Ge, Zhang, Hui, Xu, Caihong, Bounmala, Soth, Senchanthixay, Maytry, Purevdorj, Enkhtamir, Khaltar, Ulzii-Orshikh, Paguirigan, Ronald, Amoguis, Hansel, Vu Xuan, Phu, and Khang, Dang Xuan

Published
2019

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