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Modified Magnitude-Phase Spectrum Information for Spoofing Detection

  • Published:2021 Issue: Volume:29 Page:1065-1078
  • ISSN:2329-9290
  • Container-title:IEEE/ACM Transactions on Audio, Speech, and Language Processing
  • language:
  • Short-container-title:IEEE/ACM Trans. Audio Speech Lang. Process.

Author:

Yang JichenORCID,Wang Hongji,Das Rohan KumarORCID,Qian YanminORCID

Funder

Programmatic Grant

Advanced Manufacturing and Engineering domain

National Research Foundation Singapore

Human-Robot Interaction Phase 1

National Research Foundation, Prime Minister's Office, Singapore

National Robotics Programme

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Cited by 28 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PULMO: Precise utterance-level modeling for speech anti-spoofing;Applied Acoustics;2025-01

2. Multi-space channel representation learning for mono-to-binaural conversion based audio deepfake detection;Information Fusion;2024-05

3. Does Audio Deepfake Detection Rely on Artifacts?;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. Deep correlation network for synthetic speech detection;Applied Soft Computing;2024-03

5. A physical exertion inspired multi-task learning framework for detecting out-of-breath speech;Computer Speech & Language;2024-03
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