---
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
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.