accentdb

• Description:

AccentDB is a multi-pairwise parallel corpus of structured and labelled accented speech. It contains speech samples from speakers of 4 non-native accents of English (8 speakers, 4 Indian languages); and also has a compilation of 4 native accents of English (4 countries, 13 speakers) and a metropolitan Indian accent (2 speakers). The dataset available here corresponds to release titled accentdb_extended on https://accentdb.github.io/#dataset

• Additional Documentation: Explore on Papers With Code

• Homepage: https://accentdb.github.io/

• Source code: tfds.datasets.accentdb.Builder

• Versions:

  • 1.0.0 (default): No release notes.

• Download size: 3.56 GiB

• Dataset size: 19.47 GiB

• Auto-cached (documentation): No

• Splits:

Split	Examples
'train'	17,313

• Feature structure:

FeaturesDict({
    'audio': Audio(shape=(None,), dtype=int64),
    'label': ClassLabel(shape=(), dtype=int64, num_classes=9),
    'speaker_id': string,
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
audio	Audio	(None,)	int64
label	ClassLabel		int64
speaker_id	Tensor		string

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

• Figure (tfds.show_examples): Not supported.

• Examples (tfds.as_dataframe):

• Citation:

@InProceedings{ahamad-anand-bhargava:2020:LREC,
  author    = {Ahamad, Afroz  and  Anand, Ankit  and  Bhargava, Pranesh},
  title     = {AccentDB: A Database of Non-Native English Accents to Assist Neural Speech Recognition},
  booktitle      = {Proceedings of The 12th Language Resources and Evaluation Conference},
  month          = {May},
  year           = {2020},
  address        = {Marseille, France},
  publisher      = {European Language Resources Association},
  pages     = {5353--5360},
  url       = {https://www.aclweb.org/anthology/2020.lrec-1.659}
}