config.py 1.1 KB

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  1. librispeech_datasets = {
  2. "train": {
  3. "clean": ["LibriSpeech/train-clean-100", "LibriSpeech/train-clean-360"],
  4. "other": ["LibriSpeech/train-other-500"]
  5. },
  6. "test": {
  7. "clean": ["LibriSpeech/test-clean"],
  8. "other": ["LibriSpeech/test-other"]
  9. },
  10. "dev": {
  11. "clean": ["LibriSpeech/dev-clean"],
  12. "other": ["LibriSpeech/dev-other"]
  13. },
  14. }
  15. libritts_datasets = {
  16. "train": {
  17. "clean": ["LibriTTS/train-clean-100", "LibriTTS/train-clean-360"],
  18. "other": ["LibriTTS/train-other-500"]
  19. },
  20. "test": {
  21. "clean": ["LibriTTS/test-clean"],
  22. "other": ["LibriTTS/test-other"]
  23. },
  24. "dev": {
  25. "clean": ["LibriTTS/dev-clean"],
  26. "other": ["LibriTTS/dev-other"]
  27. },
  28. }
  29. voxceleb_datasets = {
  30. "voxceleb1" : {
  31. "train": ["VoxCeleb1/wav"],
  32. "test": ["VoxCeleb1/test_wav"]
  33. },
  34. "voxceleb2" : {
  35. "train": ["VoxCeleb2/dev/aac"],
  36. "test": ["VoxCeleb2/test_wav"]
  37. }
  38. }
  39. other_datasets = [
  40. "LJSpeech-1.1",
  41. "VCTK-Corpus/wav48",
  42. ]
  43. anglophone_nationalites = ["australia", "canada", "ireland", "uk", "usa"]