Hugging Face's logo

Datasets:
toloka
/
CLESC

Modalities:
Text
Formats:
parquet
Languages:
English
Size:
< 1K
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
1
KatyaA commited on
Commit
c74d06b
·
verified ·
1 Parent(s): ea47531

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +1 -1
README.md CHANGED
@@ -38,7 +38,7 @@ language:
38
 
39
  CLESC-dataset (Crowd Labeled Emotions and Speech Characteristics) is a dataset of 500 audio samples with transcriptions mixed of 2 open sourced Common Voice (100) and Voxceleb* (400) with voice features labels. We focus on annotating scalable voice characteristics such as pace (slow, normal, fast, variable), pitch (low, medium, high, variable), and volume (quiet, medium, loud, variable) as well as labeling emotions and unique voice features (free input, based on instructions provided).
40
 
41
- Curated by: Evgeniya Sukhodolskaya, Ilya Kochick (Toloka)
42
 
43
  [1] J. S. Chung, A. Nagrani, A. Zisserman
44
  VoxCeleb2: Deep Speaker Recognition
 
38
 
39
  CLESC-dataset (Crowd Labeled Emotions and Speech Characteristics) is a dataset of 500 audio samples with transcriptions mixed of 2 open sourced Common Voice (100) and Voxceleb* (400) with voice features labels. We focus on annotating scalable voice characteristics such as pace (slow, normal, fast, variable), pitch (low, medium, high, variable), and volume (quiet, medium, loud, variable) as well as labeling emotions and unique voice features (free input, based on instructions provided).
40
 
41
+ Curated by: Evgeniya Sukhodolskaya, Ilya Kochik (Toloka)
42
 
43
  [1] J. S. Chung, A. Nagrani, A. Zisserman
44
  VoxCeleb2: Deep Speaker Recognition