# A Review of Modern Audio Deepfake Detection Methods: Challenges and Future Directions
## 4 Fake Audio Detection Datasets
\begin{table}
\begin{tabular}{c c c c c c c c c c c c c} \hline \hline \multirow{2}{*}{**Year**} & \multirow{2}{*}{**Dataset**} & \multirow{2}{*}{**Total Size**} & \multirow{2}{*}{**Total Size**} & \multirow{2}{*}{**Size**} & \multirow{2}{*}{**Size**} & \multirow{2}{*}{**Length (s)**} & \multirow{2}{*}{**Fakeness**} & \multirow{2}{*}{**Temperature**} & \multirow{2}{*}{**Temperature**} & \multirow{2}{*}{**Temperature**} & \multirow{2}{*}{**Temperature**} & \multirow{2}{*}{**Temperature**} & \multirow{2}{*}{**Accessibility**} & \multirow{2}{*}{**Dataset URL**} \\  & & & & & & & & & & & & & \\  & & & & & & & & & & & & & \\ \hline \multirow{2}{*}{2018} & \multicolumn{2}{c}{The M-ALLABS Speech [44]} & \multirow{2}{*}{18.7 h} & \multirow{2}{*}{9265} & \multirow{2}{*}{806} & \multirow{2}{*}{1-20} & \multirow{2}{*}{ Synthetic} & \multirow{2}{*}{WAV} & \multirow{2}{*}{German} & \multirow{2}{*}{Public} & \multicolumn{2}{c}{[[https://www.cailto.de/2019/01/the-mails-speed-dataset/](https://www.cailto.de/2019/01/the-mails-speed-dataset/)]([https://www.cailto.de/2019/01/the-mails-speed-dataset/](https://www.cailto.de/2019/01/the-mails-speed-dataset/)) (accessed 3 March 2022)} \\  & & & & & & & & & & & \\ \hline \multirow{2}{*}{2018} & \multicolumn{2}{c}{Baidu Silicon Valley Al Lab [45]} & \multirow{2}{*}{6 h} & \multirow{2}{*}{10} & \multirow{2}{*}{120} & \multirow{2}{*}{2} & \multirow{2}{*}{ Synthetic} & \multirow{2}{*}{Mp3} & \multirow{2}{*}{ English} & \multirow{2}{*}{Public} & \multicolumn{2}{c}{[[https://audiodemos.github.io/](https://audiodemos.github.io/)]([https://audiodemos.github.io/](https://audiodemos.github.io/)) (accessed 3 March 2022)} \\  & & & & & & & & & & & \\ \hline \multirow{2}{*}{2019} & \multicolumn{2}{c}{False oReal Real  } & \multirow{2}{*}{85 h} & \multirow{2}{*}{LF-300} & \multirow{2}{*}{LF-70} & \multirow{2}{*}{LF-1052} & \multirow{2}{*}{2-10} & \multirow{2}{*}{Synthetic} & \multirow{2}{*}{WAV} & \multirow{2}{*}{Chinese} & \multirow{2}{*}{Public} & \multicolumn{2}{c}{[[https://sites.google.com/view/fake/celebda-lab/](https://sites.google.com/view/fake/celebda-lab/)]([https://sites.google.com/view/fake/celebda-lab/](https://sites.google.com/view/fake/celebda-lab/))(accessed 3 May 2022)} \\ \hline \hline \multirow{2}{*}{2022} & \multirow{2}{*}{ADD [46]} & \multirow{2}{*}{85 h} & \multirow{2}{*}{LF-300} & \multirow{2}{*}{LF-70} & \multirow{2}{*}{LF-1052} & \multirow{2}{*}{2-10} & \multirow{2}{*}{Synthetic} & \multirow{2}{*}{WAV} & \multirow{2}{*}{Chinese} & \multirow{2}{*}{Public} & \multicolumn{2}{c}{[[https://sites.google.com/view/fake/celebda-lab/](https://sites.google.com/view/fake/celebda-lab/)]([https://sites.google.com/view/fake/celebda-lab/](https://sites.google.com/view/fake/celebda-lab/))(accessed 3 May 2022)} \\ \hline \end{tabular}
\end{table} 
Table 2: Summary of AD datasets. Moreover, the FakeAVCeleb dataset is a new restricted dataset of English speakers that has been synthetically generated by the SV2 TTS tool. It contains a total of 20,490 samples divided between 490 real samples and 20,000 fakes, each being 7 s long in MP3 format. Last, the ASV spoof 2021 challenge dataset also consists of two fake scenarios, a logical and a physical scenario. The logical scenario contains fake audio made using synthetic software, while the physical scenario is fake audio made by reproducing prerecorded audio using parts of real speaker data. While this dataset has yet to be published, older versions are available to the public (2015 [30], 2017 [47], and 2019 [19]). However, the ASV spoof challenge has one limitation that has not been considered a crucial factor in the AD area, which is noise. A new synthetic-based dataset was therefore developed in the current year to fill this gap called the Audio Deep synthesis Detection challenge (ADD). This dataset consists of three tracks, a low-quality fake audio detection (LF), a partially fake audio detection (PF), and a fake audio game (FG), which is outside the scope of the current article.