Table 1 Breakdown of the used dataset showing the training, development and evaluation splits composition per number of samples, speakers, and synthesis methods
From: Synthetic speech detection through short-term and long-term prediction traces
\({\mathcal {D}_{\text {tr}}}\) | \({\mathcal {D}_{\text {dev}}}\) | \({\mathcal {D}_{\text {eval}}}\) | Category | ||
|---|---|---|---|---|---|
Samples | Bona fide | 2580 | 2548 | 7355 | |
Synthetic | 22800 | 22296 | 63882 | ||
Speakers | Bona fide | 20 | 10 | 48 | |
Synthetic | A01 | \(\checkmark \) | \(\checkmark \) | NN | |
Methods | A02 | \(\checkmark \) | \(\checkmark \) | VC | |
A03 | \(\checkmark \) | \(\checkmark \) | VC | ||
A04 = A16 | \(\checkmark \) | \(\checkmark \) | \(\checkmark \) | WC | |
A05 | \(\checkmark \) | \(\checkmark \) | VC | ||
A06 = A19 | \(\checkmark \) | \(\checkmark \) | \(\checkmark \) | VC | |
A07 | \(\checkmark \) | NN | |||
A08 | \(\checkmark \) | NN | |||
A09 | \(\checkmark \) | VC | |||
A10 | \(\checkmark \) | NN | |||
A11 | \(\checkmark \) | NN | |||
A12 | \(\checkmark \) | NN | |||
A13 | \(\checkmark \) | NN | |||
A14 | \(\checkmark \) | VC | |||
A15 | \(\checkmark \) | VC | |||
A17 | \(\checkmark \) | VC | |||
A18 | \(\checkmark \) | VC |