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].
Synthetic Speech Attribution: Highlights From the IEEE Signal Processing Cup 2022 Student Competition [SP Competitions]
Lucio Marcenaro;
2023-01-01
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].
File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
Synthetic_Speech_Attribution_Highlights_From_the_IEEE_Signal_Processing_Cup_2022_Student_Competition_SP_Competitions.pdf
accesso chiuso
Tipologia:
Documento in versione editoriale
Dimensione
1.94 MB
Formato
Adobe PDF
|
1.94 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
