Datasets:

Modalities:
Audio
Text
Formats:
parquet
Languages:
English
ArXiv:
Libraries:
Datasets
pandas
License:
nytopop commited on
Commit
225e938
·
verified ·
1 Parent(s): a07f8c0

Upload folder using huggingface_hub

Browse files
Files changed (2) hide show
  1. README.md +107 -0
  2. 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