Journal article
Synthetic Speech Attribution Highlights From the IEEE Signal Processing Cup 2022 Student Competition
IEEE SIGNAL PROCESSING MAGAZINE, v 40(6)
Sep 2023
Abstract
The possibility of manipulating digital multimedia material is nowadays within everyone's reach. In the audio case, anybody can create fake synthetic speech tracks using various methods with almost no effort [1]. These methods range from simple waveform concatenation operations to more complex neural networks [2], [3].
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Details
- Title
- Synthetic Speech Attribution Highlights From the IEEE Signal Processing Cup 2022 Student Competition
- Publication Details
- IEEE SIGNAL PROCESSING MAGAZINE, v 40(6)
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC; PISCATAWAY
- Grant note
- As the SP Cup 2022 Organizing Committee, we would like to express our warm gratitude to all of the people who took part in this competition: the participating teams, the judging panel, the local organizers, and the IEEE SPS Membership Board. Special thanks go to Dr. Gabriele Bunkheila (MathWorks), who organized a dedicated webinar, MAT-LAB for Deep Learning in Audio and Speech Applications, and MathWorks for its sponsorship. Paolo Bestagini is the corresponding author for this article.
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Drexel University
- Web of Science ID
- WOS:001065352000010
- Scopus ID
- 2-s2.0-85172226041
- Other Identifier
- 991021861307704721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Engineering, Electrical & Electronic