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The IEEE Signal Processing Society is proud to announce the ninth edition of the Signal Processing Cup: a forensic challenge related to synthetic speech attribution.
The possibility of manipulating digital multimedia objects is within everyone's reach. For instance, fake synthetic speech audio tracks can be generated through a wide variety of available methods. These range from simple cut-and-paste techniques, to complex neural networks. The goal of the challenge is to design and develop a system for synthetic speech attribution. This means, given an audio recording representing a synthetically generated speech track, to detect which method among a list of candidate ones has been used to synthesize the speech.
Any team composed of one faculty member, at most one graduate student and 3 to 10 undergraduate students is welcomed to join the open competition. At least 3 students must be IEEE Student Members.
A dataset containing audio speech tracks generated with different speech synthesis techniques will be distributed to the participants.
The three teams with highest performance in the open competition will be selected as finalists and will be invited to participate in the final competition at ICASSP 2022. The champion team will receive a grand prize of $5,000. The first and the second runner-up will receive a prize of $2,500 and $1,500, respectively, in addition to travel grants and complimentary conference registrations.
The challenge description is available at this link: Download challenge description document
General information and resources are available on Piazza.
To set up a free account, use the access code "spcup2022" to join as a student the "SPCUP 2022: IEEE Signal Processing Cup 2022" class.
The challenge is organized as a joint effort between the Image and Sound Processing Lab (ISPL) of the Politecnico di Milano (Milan, Italy) and the Multimedia and Information Security Lab (MISL) of the Drexel University (Philadelphia, USA).
The ISPL team is represented by Dr. Paolo Bestagini (Assistant Professor), Dr. Fabio Antonacci (Assistant Professor), Clara Borrelli (Ph.D. Student) and Davide Salvi (Ph.D. Student).
The MISL lab is represented by its founder Dr. Matthew C. Stamm (Associate Professor) and Brian Hosler (Ph.D. student).
This competition is sponsored by the IEEE Signal Processing Society and MathWorks.
Grand Prize Team name: “Synthesizer"
First Runner-Up Team name: “IITH"
Second Runner-Up Team name: "Students Procrastinating"