metadata

language:
  - en
license: mit
size_categories:
  - 10K<n<100K
task_categories:
  - audio-classification
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
dataset_info:
  features:
    - name: speaker_id
      dtype: string
    - name: audio
      dtype:
        audio:
          sampling_rate: 16000
    - name: digit
      dtype:
        class_label:
          names:
            '0': '0'
            '1': '1'
            '2': '2'
            '3': '3'
            '4': '4'
            '5': '5'
            '6': '6'
            '7': '7'
            '8': '8'
            '9': '9'
    - name: gender
      dtype: string
  splits:
    - name: train
      num_bytes: 1492088102
      num_examples: 24000
    - name: test
      num_bytes: 360692430
      num_examples: 6000
  download_size: 1483317200
  dataset_size: 1852780532

Dataset Card for "AudioMNIST"

This is just a reupload of the audioMNIST dataset for convenient use with the datasets library. For each speaker (12 female, 48 male), there are 50 recordings of each digit. I created an 80/20 train test split, making sure that no speaker is contained in both the train and the test.

Citation Information

The original creators of the dataset ask you to cite their paper if you use this data:

@ARTICLE{becker2018interpreting,
  author    = {Becker, S\"oren and Ackermann, Marcel and Lapuschkin, Sebastian and M\"uller, Klaus-Robert and Samek, Wojciech},
  title     = {Interpreting and Explaining Deep Neural Networks for Classification of Audio Signals},
  journal   = {CoRR},
  volume    = {abs/1807.03418},
  year      = {2018},
  archivePrefix = {arXiv},
  eprint    = {1807.03418},
}