Update readme with prompt engineering
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- README.md +7 -0
- examples/favorite_riding_hood.mp3 +0 -0
- examples/favorites/atkins_mha.mp3 +0 -0
- examples/favorites/atkins_omicron.mp3 +0 -0
- examples/favorites/atkins_value.mp3 +0 -0
- examples/favorites/daniel_craig_dumbledore.mp3 +0 -0
- examples/favorites/daniel_craig_training_ethics.mp3 +0 -0
- examples/favorites/dotrice_stop_for_death.mp3 +0 -0
- examples/favorites/emma_stone_courage.mp3 +0 -0
- examples/favorites/emma_stone_training_ethics.mp3 +0 -0
- examples/favorites/halle_barry_dumbledore.mp3 +0 -0
- examples/favorites/halle_barry_oar_to_oar.mp3 +0 -0
- examples/favorites/henry_cavill_metallic_hydrogen.mp3 +0 -0
- examples/favorites/kennard_road_not_taken.mp3 +0 -0
- examples/favorites/morgan_freeman_metallic_hydrogen.mp3 +0 -0
- examples/favorites/myself_gatsby.mp3 +0 -0
- examples/favorites/patrick_stewart_omicron.mp3 +0 -0
- examples/favorites/patrick_stewart_secret_of_life.mp3 +0 -0
- examples/favorites/robert_deniro_review.mp3 +0 -0
- examples/favorites/william_shatner_spacecraft_interview.mp3 +0 -0
- examples/riding_hood/angelina.mp3 +0 -0
- examples/riding_hood/craig.mp3 +0 -0
- examples/riding_hood/deniro.mp3 +0 -0
- examples/riding_hood/emma.mp3 +0 -0
- examples/riding_hood/freeman.mp3 +0 -0
- examples/riding_hood/geralt.mp3 +0 -0
- examples/riding_hood/halle.mp3 +0 -0
- examples/riding_hood/jlaw.mp3 +0 -0
- examples/riding_hood/lj.mp3 +0 -0
- examples/riding_hood/myself.mp3 +0 -0
- examples/riding_hood/pat.mp3 +0 -0
- examples/riding_hood/snakes.mp3 +0 -0
- examples/riding_hood/tom.mp3 +0 -0
- examples/riding_hood/weaver.mp3 +0 -0
- examples/riding_hood/william.mp3 +0 -0
- examples/tacotron_comparison/2-tacotron2.mp3 +0 -0
- examples/tacotron_comparison/2-tortoise.mp3 +0 -0
- examples/tacotron_comparison/3-tacotron2.mp3 +0 -0
- examples/tacotron_comparison/3-tortoise.mp3 +0 -0
- examples/tacotron_comparison/4-tacotron2.mp3 +0 -0
- examples/tacotron_comparison/4-tortoise.mp3 +0 -0
- examples/various/autoregressive_ml/angie.mp3 +0 -0
- examples/various/autoregressive_ml/daniel.mp3 +0 -0
- examples/various/autoregressive_ml/deniro.mp3 +0 -0
- examples/various/autoregressive_ml/emma.mp3 +0 -0
- examples/various/autoregressive_ml/freeman.mp3 +0 -0
- examples/various/autoregressive_ml/geralt.mp3 +0 -0
- examples/various/autoregressive_ml/grace_train.mp3 +0 -0
- examples/various/autoregressive_ml/halle.mp3 +0 -0
- examples/various/autoregressive_ml/jlaw.mp3 +0 -0
README.md
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@@ -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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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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### 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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examples/favorite_riding_hood.mp3
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examples/favorites/atkins_mha.mp3
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examples/favorites/atkins_omicron.mp3
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examples/favorites/atkins_value.mp3
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examples/favorites/daniel_craig_dumbledore.mp3
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examples/favorites/daniel_craig_training_ethics.mp3
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examples/favorites/dotrice_stop_for_death.mp3
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examples/favorites/emma_stone_courage.mp3
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examples/favorites/emma_stone_training_ethics.mp3
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examples/favorites/halle_barry_dumbledore.mp3
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examples/favorites/halle_barry_oar_to_oar.mp3
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examples/favorites/henry_cavill_metallic_hydrogen.mp3
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examples/favorites/kennard_road_not_taken.mp3
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examples/favorites/morgan_freeman_metallic_hydrogen.mp3
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examples/favorites/myself_gatsby.mp3
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examples/favorites/patrick_stewart_omicron.mp3
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examples/favorites/patrick_stewart_secret_of_life.mp3
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examples/favorites/robert_deniro_review.mp3
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examples/favorites/william_shatner_spacecraft_interview.mp3
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examples/riding_hood/angelina.mp3
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examples/riding_hood/craig.mp3
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examples/riding_hood/deniro.mp3
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examples/riding_hood/emma.mp3
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examples/riding_hood/freeman.mp3
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examples/riding_hood/geralt.mp3
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examples/riding_hood/halle.mp3
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examples/riding_hood/jlaw.mp3
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examples/riding_hood/lj.mp3
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examples/riding_hood/myself.mp3
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examples/riding_hood/pat.mp3
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examples/riding_hood/snakes.mp3
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examples/riding_hood/tom.mp3
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examples/riding_hood/weaver.mp3
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examples/riding_hood/william.mp3
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examples/tacotron_comparison/2-tacotron2.mp3
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examples/tacotron_comparison/2-tortoise.mp3
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examples/tacotron_comparison/3-tacotron2.mp3
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examples/tacotron_comparison/3-tortoise.mp3
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examples/tacotron_comparison/4-tacotron2.mp3
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examples/tacotron_comparison/4-tortoise.mp3
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examples/various/autoregressive_ml/angie.mp3
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examples/various/autoregressive_ml/daniel.mp3
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examples/various/autoregressive_ml/deniro.mp3
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examples/various/autoregressive_ml/emma.mp3
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examples/various/autoregressive_ml/freeman.mp3
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examples/various/autoregressive_ml/geralt.mp3
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examples/various/autoregressive_ml/grace_train.mp3
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examples/various/autoregressive_ml/halle.mp3
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examples/various/autoregressive_ml/jlaw.mp3
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