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Update readme with prompt engineering

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  1. README.md +7 -0
  2. examples/favorite_riding_hood.mp3 +0 -0
  3. examples/favorites/atkins_mha.mp3 +0 -0
  4. examples/favorites/atkins_omicron.mp3 +0 -0
  5. examples/favorites/atkins_value.mp3 +0 -0
  6. examples/favorites/daniel_craig_dumbledore.mp3 +0 -0
  7. examples/favorites/daniel_craig_training_ethics.mp3 +0 -0
  8. examples/favorites/dotrice_stop_for_death.mp3 +0 -0
  9. examples/favorites/emma_stone_courage.mp3 +0 -0
  10. examples/favorites/emma_stone_training_ethics.mp3 +0 -0
  11. examples/favorites/halle_barry_dumbledore.mp3 +0 -0
  12. examples/favorites/halle_barry_oar_to_oar.mp3 +0 -0
  13. examples/favorites/henry_cavill_metallic_hydrogen.mp3 +0 -0
  14. examples/favorites/kennard_road_not_taken.mp3 +0 -0
  15. examples/favorites/morgan_freeman_metallic_hydrogen.mp3 +0 -0
  16. examples/favorites/myself_gatsby.mp3 +0 -0
  17. examples/favorites/patrick_stewart_omicron.mp3 +0 -0
  18. examples/favorites/patrick_stewart_secret_of_life.mp3 +0 -0
  19. examples/favorites/robert_deniro_review.mp3 +0 -0
  20. examples/favorites/william_shatner_spacecraft_interview.mp3 +0 -0
  21. examples/riding_hood/angelina.mp3 +0 -0
  22. examples/riding_hood/craig.mp3 +0 -0
  23. examples/riding_hood/deniro.mp3 +0 -0
  24. examples/riding_hood/emma.mp3 +0 -0
  25. examples/riding_hood/freeman.mp3 +0 -0
  26. examples/riding_hood/geralt.mp3 +0 -0
  27. examples/riding_hood/halle.mp3 +0 -0
  28. examples/riding_hood/jlaw.mp3 +0 -0
  29. examples/riding_hood/lj.mp3 +0 -0
  30. examples/riding_hood/myself.mp3 +0 -0
  31. examples/riding_hood/pat.mp3 +0 -0
  32. examples/riding_hood/snakes.mp3 +0 -0
  33. examples/riding_hood/tom.mp3 +0 -0
  34. examples/riding_hood/weaver.mp3 +0 -0
  35. examples/riding_hood/william.mp3 +0 -0
  36. examples/tacotron_comparison/2-tacotron2.mp3 +0 -0
  37. examples/tacotron_comparison/2-tortoise.mp3 +0 -0
  38. examples/tacotron_comparison/3-tacotron2.mp3 +0 -0
  39. examples/tacotron_comparison/3-tortoise.mp3 +0 -0
  40. examples/tacotron_comparison/4-tacotron2.mp3 +0 -0
  41. examples/tacotron_comparison/4-tortoise.mp3 +0 -0
  42. examples/various/autoregressive_ml/angie.mp3 +0 -0
  43. examples/various/autoregressive_ml/daniel.mp3 +0 -0
  44. examples/various/autoregressive_ml/deniro.mp3 +0 -0
  45. examples/various/autoregressive_ml/emma.mp3 +0 -0
  46. examples/various/autoregressive_ml/freeman.mp3 +0 -0
  47. examples/various/autoregressive_ml/geralt.mp3 +0 -0
  48. examples/various/autoregressive_ml/grace_train.mp3 +0 -0
  49. examples/various/autoregressive_ml/halle.mp3 +0 -0
  50. examples/various/autoregressive_ml/jlaw.mp3 +0 -0
README.md CHANGED
@@ -137,6 +137,13 @@ these settings (and it's very likely that I missed something!)
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  These settings are not available in the normal scripts packaged with Tortoise. They are available, however, in the API. See
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  ```api.tts``` for a full list.
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  ### Playing with the voice latent
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  Tortoise ingests reference clips by feeding them through individually through a small submodel that produces a point latent,
 
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  These settings are not available in the normal scripts packaged with Tortoise. They are available, however, in the API. See
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  ```api.tts``` for a full list.
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+ ### Prompt engineering
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+
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+ Some people have discovered that it is possible to do prompt engineering with Tortoise! For example, you can evoke emotion
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+ by including things like "I am really sad," before your text. I've built an automated redaction system that you can use to
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+ take advantage of this. It works by attempting to redact any text in the prompt surrounded by brackets. For example, the
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+ prompt "\[I am really sad,\] Please feed me." will only speak the words "Please feed me" (with a sad tonality).
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+
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  ### Playing with the voice latent
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  Tortoise ingests reference clips by feeding them through individually through a small submodel that produces a point latent,
examples/favorite_riding_hood.mp3 ADDED
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examples/favorites/atkins_mha.mp3 ADDED
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examples/favorites/atkins_omicron.mp3 ADDED
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examples/favorites/atkins_value.mp3 ADDED
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examples/favorites/daniel_craig_dumbledore.mp3 ADDED
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examples/favorites/daniel_craig_training_ethics.mp3 ADDED
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examples/favorites/dotrice_stop_for_death.mp3 ADDED
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examples/favorites/emma_stone_courage.mp3 ADDED
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examples/favorites/emma_stone_training_ethics.mp3 ADDED
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examples/favorites/halle_barry_dumbledore.mp3 ADDED
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examples/favorites/halle_barry_oar_to_oar.mp3 ADDED
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examples/favorites/henry_cavill_metallic_hydrogen.mp3 ADDED
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examples/favorites/kennard_road_not_taken.mp3 ADDED
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examples/favorites/morgan_freeman_metallic_hydrogen.mp3 ADDED
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examples/favorites/myself_gatsby.mp3 ADDED
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examples/favorites/patrick_stewart_omicron.mp3 ADDED
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examples/favorites/patrick_stewart_secret_of_life.mp3 ADDED
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examples/favorites/robert_deniro_review.mp3 ADDED
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examples/favorites/william_shatner_spacecraft_interview.mp3 ADDED
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examples/riding_hood/angelina.mp3 ADDED
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examples/riding_hood/craig.mp3 ADDED
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examples/riding_hood/deniro.mp3 ADDED
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examples/riding_hood/emma.mp3 ADDED
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examples/riding_hood/freeman.mp3 ADDED
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examples/riding_hood/geralt.mp3 ADDED
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examples/riding_hood/halle.mp3 ADDED
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examples/riding_hood/jlaw.mp3 ADDED
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examples/riding_hood/lj.mp3 ADDED
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examples/riding_hood/myself.mp3 ADDED
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examples/riding_hood/pat.mp3 ADDED
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examples/riding_hood/snakes.mp3 ADDED
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examples/riding_hood/tom.mp3 ADDED
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examples/riding_hood/weaver.mp3 ADDED
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examples/riding_hood/william.mp3 ADDED
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examples/tacotron_comparison/2-tacotron2.mp3 ADDED
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examples/tacotron_comparison/2-tortoise.mp3 ADDED
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examples/tacotron_comparison/3-tacotron2.mp3 ADDED
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examples/tacotron_comparison/3-tortoise.mp3 ADDED
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examples/tacotron_comparison/4-tacotron2.mp3 ADDED
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examples/tacotron_comparison/4-tortoise.mp3 ADDED
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examples/various/autoregressive_ml/angie.mp3 ADDED
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examples/various/autoregressive_ml/daniel.mp3 ADDED
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examples/various/autoregressive_ml/deniro.mp3 ADDED
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examples/various/autoregressive_ml/emma.mp3 ADDED
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examples/various/autoregressive_ml/freeman.mp3 ADDED
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examples/various/autoregressive_ml/geralt.mp3 ADDED
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examples/various/autoregressive_ml/grace_train.mp3 ADDED
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examples/various/autoregressive_ml/halle.mp3 ADDED
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examples/various/autoregressive_ml/jlaw.mp3 ADDED
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