settings.yml 1.7 KB

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  1. ---
  2. # ---------------------------
  3. # JARVIS default settings
  4. # Use YAML syntax
  5. # ---------------------------
  6. # This is the trigger that will catch your magic work to wake up JARVIS
  7. default_trigger: "snowboy"
  8. # This is the STT that will be used by default
  9. default_speech_to_text: "google"
  10. # This is the default TTS that will be used by JARVIS to talk.
  11. default_text_to_speech: "pico2wave"
  12. # When jarvis detect the hotword/trigger, he will select randomly a phrase in the following list
  13. # to notify the user that he's listening for orders
  14. random_wake_up_answers:
  15. - "Oui monsieur?"
  16. - "Je vous écoute"
  17. - "Monsieur?"
  18. - "Que puis-je faire pour vous?"
  19. - "J'écoute"
  20. - "Oui?"
  21. # Spreech to Text engines configuration
  22. # Available engine are:
  23. # - google (via SpeechRecognition)
  24. # -
  25. speech_to_text:
  26. - google:
  27. language: "fr-FR"
  28. - wit:
  29. key: "B5JI3YUSLYOYWNIDBINBVM34XUODME2K"
  30. - bing: # API not working : credential fails ..
  31. key: "9e48ddaf75904838bedc11aea6b36fb0"
  32. - apiai: # Fail retriving the text from the audio file ..
  33. key: "e0cbff154af44944a6b9f82c0668b527"
  34. language: "fr"
  35. - houndify: # In the online documentation but Not implemented yet in the speech recognition lib ..?
  36. key: "7zj90T7qAV74OYXk4X4vI2Xhk7wPsJu4aEZ0G5Ll-BMmV1JGtFpCxtSH9SmTY4G3bpEJ7a5y_GTQid-CAKI6vw=="
  37. client_id: "lN4JXeaSticbSo9-llczbA=="
  38. # Text to Spreech engines configuration
  39. # Available engine are:
  40. # - pico2wave
  41. # - voxygen
  42. text_to_speech:
  43. - pico2wave:
  44. language: "en-US"
  45. cache: True
  46. - voxygen:
  47. language: "fr"
  48. voice: "Emma"
  49. cache: True
  50. # Trigger engine configuration
  51. # Available engine are:
  52. # - snowboy
  53. triggers:
  54. - snowboy:
  55. pmdl_file: "trigger/snowboy/resources/jarviss.pmdl"