Datasets:
File size: 4,074 Bytes
964bfb1 9fb79a1 964bfb1 9fb79a1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 |
---
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.
|