Datasets:
Formats:
parquet
Sub-tasks:
speaker-identification
Languages:
French
Size:
10K - 100K
ArXiv:
DOI:
License:
Update README.md
Browse files
README.md
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@@ -224,6 +224,7 @@ This dataset can be used for various audio machine learning tasks :
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- **Voice cloning**
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- etc ...
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### Dataset usage
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VibraVox contains 4 subsets, corresponding to different situations tailored for specific tasks. To load a specific subset simply use the following command (```subset``` can be any of the following : ``` "speech_clean" ``` , ``` "speech_noisy" ``` , ``` "speechless_clean" ``` , ``` "speechless_noisy" ```):
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TODO : update values when final dataset is uploaded
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| Quantity | Mean | Median | Min | Max |
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| Age (all participants) | 28.55 y.o | 25 y.o | 18 y.o. | 82 y.o. |
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| Age (female participants)| 25.9 y.o. | 22 y.o. | 19 y.o. | 59 y.o. |
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| Age (male participants) | 31.4 y.o. | 27 y.o. | 18 y.o. | 82 y.o. |
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- **Voice cloning**
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- etc ...
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+
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### Dataset usage
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VibraVox contains 4 subsets, corresponding to different situations tailored for specific tasks. To load a specific subset simply use the following command (```subset``` can be any of the following : ``` "speech_clean" ``` , ``` "speech_noisy" ``` , ``` "speechless_clean" ``` , ``` "speechless_noisy" ```):
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TODO : update values when final dataset is uploaded
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| Quantity | Mean | Median | Min | Max |
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|:-----------------------:|:-------:|:--------:|:-------:|:--------:|
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| Age (all participants) | 28.55 y.o | 25 y.o | 18 y.o. | 82 y.o. |
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| Age (female participants)| 25.9 y.o. | 22 y.o. | 19 y.o. | 59 y.o. |
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| Age (male participants) | 31.4 y.o. | 27 y.o. | 18 y.o. | 82 y.o. |
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