Exploring the Synthetic Speech Attribution Problem Through Data-Driven Detectors-Reference-Cited by-同舟云学术

Exploring the Synthetic Speech Attribution Problem Through Data-Driven Detectors

Published:2022-12-12 Issue: Volume: Page:
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Container-title:2022 IEEE International Workshop on Information Forensics and Security (WIFS)
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Author:

Salvi Davide¹,Bestagini Paolo¹,Tubaro Stefano¹

Affiliation:

1. Politecnico di Milano,Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB),Milano,Italy,20133

Funder

EMI

Ministry of Education

Air Force Research Laboratory

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9975350/9975299/09975440.pdf?arnumber=9975440

Reference24 articles.

1. Synthetic speech detection through short-term and long-term prediction traces

2. Channel pattern noise based playback attack detection algorithm for speaker recognition

3. Deepfake Speech Detection Through Emotion Recognition: A Semantic Approach

4. Combining Automatic Speaker Verification and Prosody Analysis for Synthetic Speech Detection;attorresi;International Conference on Pattern Recognition (ICPR),2022

5. Time Scaling Detection and Estimation in Audio Recordings

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4. Synthetic Speech Attribution: Highlights From the IEEE Signal Processing Cup 2022 Student Competition [SP Competitions];IEEE Signal Processing Magazine;2023-09

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