--- tags: - audio --- Part of MONSTER: . ***AudioMNIST*** consists of audio recordings of 60 different speakers saying the digits 0 to 9, with 50 recordings per digit per speaker [1, 2]. The processed dataset contains 30,000 (univariate) time series, each of length 47,998 (approximately 1 second of data sampled at 44khz), with ten classes representing the digits 0 to 9. This version of the dataset has been split into cross-validation folds based on speaker (i.e., such that recordings for a given speaker do not appear in both the training and validation sets). ***AudioMNIST-DS*** is a variant of the same dataset downsampled to a length of 4,000. [1] Sören Becker, Johanna Vielhaben, Marcel Ackermann, Klaus-Robert Müller, Sebastian Lapuschkin, and Wojciech Samek. (2024). AudioMNIST: Exploring explainable artificial intelligence for audio analysis on a simple benchmark. *Journal of the Franklin Institute*, 361(1):418–428. [2] Sören Becker, Johanna Vielhaben, Marcel Ackermann, Klaus-Robert Müller, Sebastian Lapuschkin, and Wojciech Samek. (2024). AudioMNIST. . MIT License.