Datasets:
Upload folder using huggingface_hub
Browse files- README.md +107 -0
- train.parquet +3 -0
README.md
ADDED
|
@@ -0,0 +1,107 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
dataset_info:
|
| 3 |
+
config_name: conversational
|
| 4 |
+
features:
|
| 5 |
+
- name: audio
|
| 6 |
+
dtype: audio
|
| 7 |
+
- name: text
|
| 8 |
+
dtype: string
|
| 9 |
+
- name: speaker_id
|
| 10 |
+
dtype: string
|
| 11 |
+
- name: style
|
| 12 |
+
dtype: string
|
| 13 |
+
- name: other_speaker_id
|
| 14 |
+
dtype: string
|
| 15 |
+
- name: other_style
|
| 16 |
+
dtype: string
|
| 17 |
+
- name: conversation_id
|
| 18 |
+
dtype: string
|
| 19 |
+
- name: turn_idx
|
| 20 |
+
dtype: int32
|
| 21 |
+
splits:
|
| 22 |
+
- name: train
|
| 23 |
+
num_examples: 25091
|
| 24 |
+
configs:
|
| 25 |
+
- config_name: conversational
|
| 26 |
+
data_files:
|
| 27 |
+
- split: train
|
| 28 |
+
path: train.parquet
|
| 29 |
+
license: cc-by-nc-4.0
|
| 30 |
+
language:
|
| 31 |
+
- en
|
| 32 |
+
pretty_name: The Expresso Dataset
|
| 33 |
+
---
|
| 34 |
+
|
| 35 |
+
# Info about this dataset
|
| 36 |
+
This is the improvised conversational subset of Expresso, machine segmented and transcribed with turn metadata preserved.
|
| 37 |
+
|
| 38 |
+
Models used:
|
| 39 |
+
|
| 40 |
+
- [Silero VAD](https://github.com/snakers4/silero-vad): initial segmentation of audio files
|
| 41 |
+
- [Parakeet TDT 0.6B V2](https://huggingface.co/nvidia/parakeet-tdt-0.6b-v2): transcription of each segment
|
| 42 |
+
|
| 43 |
+
An 80Hz highpass filter was applied to the source audio prior to segmentation to reduce incidence of the recording environment's low frequency noise.
|
| 44 |
+
|
| 45 |
+
In total, 26.07 hours of audio remains, as 25091 conversational turns. Some transcription errors are to be expected.
|
| 46 |
+
|
| 47 |
+
# The Expresso Dataset
|
| 48 |
+
[[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)
|
| 49 |
+
|
| 50 |
+
|
| 51 |
+
## Introduction
|
| 52 |
+
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.
|
| 53 |
+
|
| 54 |
+
You can listen to samples from the Expresso Dataset at [this website](https://speechbot.github.io/expresso/).
|
| 55 |
+
|
| 56 |
+
|
| 57 |
+
### Conversational Speech
|
| 58 |
+
The `conversational` config contains all improvised conversational speech as segmented 48KHz mono WAV.
|
| 59 |
+
|
| 60 |
+
|
| 61 |
+
## Data Statistics
|
| 62 |
+
Here are the statistics of Expresso’s expressive styles:
|
| 63 |
+
|
| 64 |
+
----------------------------------------------------------------
|
| 65 |
+
Style | Read (min) | Improvised (min) | total (hrs)
|
| 66 |
+
------------------|------------|------------------|-------------
|
| 67 |
+
angry | - | 82 | 1.4
|
| 68 |
+
animal | - | 27 | 0.4
|
| 69 |
+
animal_directed | - | 32 | 0.5
|
| 70 |
+
awe | - | 92 | 1.5
|
| 71 |
+
bored | - | 92 | 1.5
|
| 72 |
+
calm | - | 93 | 1.6
|
| 73 |
+
child | - | 28 | 0.4
|
| 74 |
+
child_directed | - | 38 | 0.6
|
| 75 |
+
confused | 94 | 66 | 2.7
|
| 76 |
+
default | 133 | 158 | 4.9
|
| 77 |
+
desire | - | 92 | 1.5
|
| 78 |
+
disgusted | - | 118 | 2.0
|
| 79 |
+
enunciated | 116 | 62 | 3.0
|
| 80 |
+
fast | - | 98 | 1.6
|
| 81 |
+
fearful | - | 98 | 1.6
|
| 82 |
+
happy | 74 | 92 | 2.8
|
| 83 |
+
laughing | 94 | 103 | 3.3
|
| 84 |
+
narration | 21 | 76 | 1.6
|
| 85 |
+
non_verbal | - | 32 | 0.5
|
| 86 |
+
projected | - | 94 | 1.6
|
| 87 |
+
sad | 81 | 101 | 3.0
|
| 88 |
+
sarcastic | - | 106 | 1.8
|
| 89 |
+
singing* | - | 4 | .07
|
| 90 |
+
sleepy | - | 93 | 1.5
|
| 91 |
+
sympathetic | - | 100 | 1.7
|
| 92 |
+
whisper | 79 | 86 | 2.8
|
| 93 |
+
**Total** | **11.5h** | **34.4h** | **45.9h**
|
| 94 |
+
----------------------------------------------------------------
|
| 95 |
+
*singing is the only improvised style that is not in dialogue format.
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
## Audio Quality
|
| 99 |
+
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.
|
| 100 |
+
|
| 101 |
+
|
| 102 |
+
## License
|
| 103 |
+
The Expresso dataset is distributed under the [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) license.
|
| 104 |
+
|
| 105 |
+
|
| 106 |
+
## Reference
|
| 107 |
+
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.
|
train.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4041b06efd24066f8438188b0324449343bd214fa50898dc86f2bdefee74a2cc
|
| 3 |
+
size 13504559003
|