spoken_digit

• Description:

A free audio dataset of spoken digits. Think MNIST for audio.

A simple audio/speech dataset consisting of recordings of spoken digits in wav files at 8kHz. The recordings are trimmed so that they have near minimal silence at the beginnings and ends.

5 speakers 2,500 recordings (50 of each digit per speaker) English pronunciations

Files are named in the following format: {digitLabel}{speakerName}{index}.wav

• Homepage: https://github.com/Jakobovski/free-spoken-digit-dataset

• Source code: tfds.audio.spoken_digit.SpokenDigit

• Versions:

  • 1.0.9 (default): No release notes.

• Download size: 11.42 MiB

• Dataset size: 45.68 MiB

• Auto-cached (documentation): Yes

• Splits:

Split	Examples
'train'	2,500

• Feature structure:

FeaturesDict({
    'audio': Audio(shape=(None,), dtype=tf.int64),
    'audio/filename': Text(shape=(), dtype=tf.string),
    'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=10),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
audio	Audio	(None,)	tf.int64
audio/filename	Text		tf.string
label	ClassLabel		tf.int64

• Supervised keys (See as_supervised doc): ('audio', 'label')

• Figure (tfds.show_examples): Not supported.

• Examples (tfds.as_dataframe):

• Citation:

@ONLINE {Free Spoken Digit Dataset,
    author = "Zohar Jackson",
    title  = "Spoken_Digit",
    year   = "2016",
    url    = "https://github.com/Jakobovski/free-spoken-digit-dataset"
}