Synthetic Speech Attribution: Highlights From the IEEE Signal Processing Cup 2022 Student Competition [SP Competitions]

Davide Salvi,Clara Borrelli,Paolo Bestagini,Fabio Antonacci,Matthew Stamm,Lucio Marcenaro,Angshul Majumdar

IEEE Signal Processing Magazine（2023）

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摘要

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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synthetic speech attribution,ieee signal processing cup,signal processing

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