---
dataset_info:
  config_name: speech
  features:
  - name: input_ids
    sequence: int32
  splits:
  - name: read
    num_examples: 11563
  - name: improv_2048
    num_examples: 4010
  - name: improv_4096
    num_examples: 2311
  - name: improv_6144
    num_examples: 1595
  - name: improv_8192
    num_examples: 1218
configs:
- config_name: speech
  data_files:
  - split: read
    path: read.parquet
  - split: improv_2048
    path: improv_2048.parquet
  - split: improv_4096
    path: improv_4096.parquet
  - split: improv_6144
    path: improv_6144.parquet
  - split: improv_8192
    path: improv_8192.parquet
license: cc-by-nc-4.0
language:
- en
pretty_name: The Expresso Dataset
---

# Info about this dataset
This is the complete (sans irregular styles) expresso dataset, merged from the following sources:

- improvised conversational: [nytopop/expresso-improv](https://huggingface.co/datasets/nytopop/expresso-improv)
- read speech: [ylacombe/expresso](https://huggingface.co/datasets/ylacombe/expresso)

All audio was resampled to 24khz and encoded with SNAC as orpheus codebooks. Conversational turns from the improvised subset are arranged as multi-turn windows.

Each turn is tokenized in orpheus layout. Plaintext prefixes are used to indicate speaker / style information of each example. That is, text prompts of each turn are of the form:

- `speaker: [style] transcript`

Except for the `default`, `essentials`, and `emphasis` styles, for which the `[style]` tag is omitted (all are variations of `default` in the same delivered style with in-text markup).

Speaker IDs are renamed as follows:

| speaker_id | speaker |
|------------|---------|
| ex01       | jack    |
| ex02       | lisa    |
| ex03       | bert    |
| ex04       | emma    |

The `read` split contains read speech examples (10.73 hours, 11,563 turns, 3,485,769 tokens).

The `improv_2048` split contains improvised conversational examples <= 2048 tokens (20.23 hours, 14,818 turns, 6,523,432 tokens).

The `improv_4096` split contains improvised conversational examples <= 4096 tokens (24.23 hours, 15,276 turns, 7,762,324 tokens).

The `improv_6144` split contains improvised conversational examples <= 6144 tokens (25.20 hours, 15,339 turns, 8,064,934 tokens).

The `improv_8192` split contains improvised conversational examples <= 8192 tokens (25.48 hours, 15,351 turns, 8,151,443 tokens).


# Style stats by split

| Style       | Read (turns) | Improv (turns) | Total (turns) |
|-------------|--------------|----------------|---------------|
| confused    | 1515         | 567            | 2082          |
| default     | 2475         | 1213           | 3688          |
| enunciated  | 1500         | 762            | 2262          |
| happy       | 1519         | 639            | 2158          |
| laughing    | 1519         | 804            | 2323          |
| sad         | 1518         | 1082           | 2600          |
| whisper     | 1517         | 806            | 2323          |
| disgusted   | -            | 1073           | 1073          |
| sympathetic | -            | 1067           | 1067          |
| narration   | -            | 394            | 394           |
| projected   | -            | 1195           | 1195          |
| fast        | -            | 1065           | 1065          |
| angry       | -            | 695            | 695           |
| sarcastic   | -            | 757            | 757           |
| calm        | -            | 880            | 880           |
| desire      | -            | 195            | 195           |
| nonverbal   | -            | 327            | 327           |
| fearful     | -            | 394            | 394           |
| awe         | -            | 648            | 648           |
| bored       | -            | 274            | 274           |
| sleepy      | -            | 514            | 514           |



# 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/).


## 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.


## 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.