# accentdb

<br />

- **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](https://paperswithcode.com/dataset/accentdb)

- **Homepage** : <https://accentdb.github.io/>

- **Source code** :
  [`tfds.datasets.accentdb.Builder`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/datasets/accentdb/accentdb_dataset_builder.py)

- **Versions**:

  - **`1.0.0`** (default): No release notes.
- **Download size** : `3.56 GiB`

- **Dataset size** : `19.47 GiB`

- **Auto-cached**
  ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):
  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](https://www.tensorflow.org/datasets/api_docs/python/tfds/load#args)):
  `('audio', 'label')`

- **Figure**
  ([tfds.show_examples](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)):
  Not supported.

- **Examples**
  ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):

<button id="displaydataframe">Display examples...</button>

- **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}
    }