| --- |
| dataset_info: |
| config_name: read |
| features: |
| - name: audio |
| dtype: audio |
| - name: text |
| dtype: string |
| - name: speaker_id |
| dtype: string |
| - name: style |
| dtype: string |
| - name: id |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 5702432944.34 |
| num_examples: 11615 |
| download_size: 5761373569 |
| dataset_size: 5702432944.34 |
| configs: |
| - config_name: read |
| data_files: |
| - split: train |
| path: read/train-* |
| license: cc-by-nc-4.0 |
| language: |
| - en |
| task_categories: |
| - text-to-speech |
| size_categories: |
| - 10K<n<100K |
| pretty_name: The Expresso Dataset |
| --- |
| |
| # The Expresso Dataset |
| [[paper]](https://arxiv.org/abs/2308.05725) [[demo samples]](https://speechbot.github.io/expresso/) [[Original repository]](https://github.com/facebookresearch/textlesslib/tree/main/examples/expresso/dataset) |
|
|
| ## Introduction |
| The Expresso dataset is a high-quality (48kHz) expressive speech dataset that includes both expressively rendered read speech (8 styles, in mono wav format) and improvised dialogues (26 styles, in stereo wav format). The dataset includes 4 speakers (2 males, 2 females), and totals 40 hours (11h read, 30h improvised). The transcriptions of the read speech are also provided. |
|
|
| You can listen to samples from the Expresso Dataset at [this website](https://speechbot.github.io/expresso/). |
|
|
| ## Data Statistics |
| Here are the statistics of Expresso’s expressive styles: |
|
|
| ---------------------------------------------------------------- |
| Style | Read (min) | Improvised (min) | total (hrs) |
| ------------------|------------|------------------|------------- |
| angry | - | 82 | 1.4 |
| animal | - | 27 | 0.4 |
| animal_directed | - | 32 | 0.5 |
| awe | - | 92 | 1.5 |
| bored | - | 92 | 1.5 |
| calm | - | 93 | 1.6 |
| child | - | 28 | 0.4 |
| child_directed | - | 38 | 0.6 |
| confused | 94 | 66 | 2.7 |
| default | 133 | 158 | 4.9 |
| desire | - | 92 | 1.5 |
| disgusted | - | 118 | 2.0 |
| enunciated | 116 | 62 | 3.0 |
| fast | - | 98 | 1.6 |
| fearful | - | 98 | 1.6 |
| happy | 74 | 92 | 2.8 |
| laughing | 94 | 103 | 3.3 |
| narration | 21 | 76 | 1.6 |
| non_verbal | - | 32 | 0.5 |
| projected | - | 94 | 1.6 |
| sad | 81 | 101 | 3.0 |
| sarcastic | - | 106 | 1.8 |
| singing* | - | 4 | .07 |
| sleepy | - | 93 | 1.5 |
| sympathetic | - | 100 | 1.7 |
| whisper | 79 | 86 | 2.8 |
| **Total** | **11.5h** | **34.4h** | **45.9h** |
| ---------------------------------------------------------------- |
| *singing is the only improvised style that is not in dialogue format. |
| |
| ## Audio Quality |
| The audio was recorded in a professional recording studio with minimal background noise at 48kHz/24bit. The files for read speech and singing are in a mono wav format; and for the dialog section in stereo (one channel per actor), where the original flow of turn-taking is preserved. |
| |
| |
| ### Read Speech |
| The `read` config contains all the read speech and singing style. |
| |
| ## License |
| The Expresso dataset is distributed under the [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) license. |
| |
| ## Reference |
| For more information, see the paper: [EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis](https://arxiv.org/abs/2308.05725), Tu Anh Nguyen*, Wei-Ning Hsu*, Antony D'Avirro*, Bowen Shi*, Itai Gat, Maryam Fazel-Zarani, Tal Remez, Jade Copet, Gabriel Synnaeve, Michael Hassid, Felix Kreuk, Yossi Adi⁺, Emmanuel Dupoux⁺, INTERSPEECH 2023. |
| |
