Datasets:
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},
}