Datasets:
speaker_id
stringclasses 48
values | audio
audioduration (s) 0.29
1
| digit
class label 10
classes | gender
class label 2
classes | accent
stringclasses 13
values | age
int64 22
61
⌀ | native_speaker
bool 2
classes | origin
stringclasses 34
values |
---|---|---|---|---|---|---|---|
59 | 77
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 77
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 22
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 33
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 99
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 99
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 33
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 44
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 44
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 11
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 22
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 22
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 99
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 88
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 88
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 55
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 55
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 88
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 99
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 88
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 22
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 22
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 11
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 44
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 44
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 33
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 99
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 99
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 33
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 77
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 22
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 77
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 33
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 22
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 77
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 99
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 77
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 66
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 99
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 33
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 44
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 44
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 11
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 11
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 66
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 22
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 22
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 88
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 22
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 88
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 99
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 55
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 55
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 88
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 22
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 99
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 88
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 22
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 22
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 66
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 11
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 11
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 44
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 44
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 33
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 99
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 66
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 99
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 77
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 22
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 77
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 33
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 33
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 77
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 22
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 99
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 33
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 99
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 99
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 44
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 44
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 11
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 11
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 88
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 99
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 88
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 22
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 22
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 55
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 55
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 22
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 22
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 99
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 88
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 88
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 11
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 11
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 44
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 44
| 1female
| German | 31 | false | Europe, Germany, Berlin |
|
59 | 99
| 1female
| German | 31 | false | Europe, Germany, Berlin |
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Dataset Card for "AudioMNIST"
The audioMNIST dataset has 50 English recordings per digit (0-9) of 60 speakers. There are 60 participants in total, with 12 being women and 48 being men, all featuring a diverse range of accents and country of origin. Their ages vary from 22 to 61 years old. This is a great dataset to explore a simple audio classification problem: either the digit or the gender.
Bias, Risks, and Limitations
- The genders represented in the dataset are unbalanced, with around 80% being men.
- The majority of the speakers, around 70%, have a German accent
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},
}
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