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Datasets:
Cnam-LMSSC
/
vibravox

Tasks:
Audio-to-Audio
Automatic Speech Recognition
Audio Classification
Modalities:
Audio
Text
Formats:
parquet
Sub-tasks:
speaker-identification
Languages:
French
Size:
10K - 100K
ArXiv:
DOI:
Libraries:
Datasets
Dask
License:
Dataset card Data Studio Files
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4
jhauret commited on
Commit
684acb6
·
verified ·
1 Parent(s): ae9cdc9

Fix duration error on speech_clean (due ton safety margin) (part 00000-of-00006)

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  1. speech_clean/test-00004-of-00032.parquet +0 -3
  2. speech_clean/test-00005-of-00032.parquet +0 -3
  3. speech_clean/test-00006-of-00032.parquet +0 -3
  4. speech_clean/test-00007-of-00032.parquet +0 -3
  5. speech_clean/test-00008-of-00032.parquet +0 -3
  6. speech_clean/test-00009-of-00032.parquet +0 -3
  7. speech_clean/test-00010-of-00032.parquet +0 -3
  8. speech_clean/test-00011-of-00032.parquet +0 -3
  9. speech_clean/test-00012-of-00032.parquet +0 -3
  10. speech_clean/test-00013-of-00032.parquet +0 -3
  11. speech_clean/test-00014-of-00032.parquet +0 -3
  12. speech_clean/test-00015-of-00032.parquet +0 -3
  13. speech_clean/test-00016-of-00032.parquet +0 -3
  14. speech_clean/test-00017-of-00032.parquet +0 -3
  15. speech_clean/test-00018-of-00032.parquet +0 -3
  16. speech_clean/test-00019-of-00032.parquet +0 -3
  17. speech_clean/test-00020-of-00032.parquet +0 -3
  18. speech_clean/test-00021-of-00032.parquet +0 -3
  19. speech_clean/test-00022-of-00032.parquet +0 -3
  20. speech_clean/test-00023-of-00032.parquet +0 -3
  21. speech_clean/test-00024-of-00032.parquet +0 -3
  22. speech_clean/test-00025-of-00032.parquet +0 -3
  23. speech_clean/test-00026-of-00032.parquet +0 -3
  24. speech_clean/test-00027-of-00032.parquet +0 -3
  25. speech_clean/test-00028-of-00032.parquet +0 -3
  26. speech_clean/test-00029-of-00032.parquet +0 -3
  27. speech_clean/test-00030-of-00032.parquet +0 -3
  28. speech_clean/test-00031-of-00032.parquet +0 -3
  29. speech_clean/{test-00000-of-00032.parquet → train-00000-of-00201.parquet} +2 -2
  30. speech_clean/train-00000-of-00219.parquet +0 -3
  31. speech_clean/{test-00001-of-00032.parquet → train-00001-of-00201.parquet} +2 -2
  32. speech_clean/train-00001-of-00219.parquet +0 -3
  33. speech_clean/{test-00002-of-00032.parquet → train-00002-of-00201.parquet} +2 -2
  34. speech_clean/train-00002-of-00219.parquet +0 -3
  35. speech_clean/{test-00003-of-00032.parquet → train-00003-of-00201.parquet} +2 -2
  36. speech_clean/train-00003-of-00219.parquet +0 -3
  37. speech_clean/train-00004-of-00201.parquet +3 -0
  38. speech_clean/train-00004-of-00219.parquet +0 -3
  39. speech_clean/train-00005-of-00201.parquet +3 -0
  40. speech_clean/train-00005-of-00219.parquet +0 -3
  41. speech_clean/train-00006-of-00201.parquet +3 -0
  42. speech_clean/train-00006-of-00219.parquet +0 -3
  43. speech_clean/train-00007-of-00201.parquet +3 -0
  44. speech_clean/train-00007-of-00219.parquet +0 -3
  45. speech_clean/train-00008-of-00201.parquet +3 -0
  46. speech_clean/train-00008-of-00219.parquet +0 -3
  47. speech_clean/train-00009-of-00201.parquet +3 -0
  48. speech_clean/train-00009-of-00219.parquet +0 -3
  49. speech_clean/train-00010-of-00201.parquet +3 -0
  50. speech_clean/train-00010-of-00219.parquet +0 -3
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