diff --git a/packages/fakeyou/public/mascot/guide.webp b/packages/fakeyou/public/mascot/guide.webp new file mode 100644 index 0000000000..b69a658423 Binary files /dev/null and b/packages/fakeyou/public/mascot/guide.webp differ diff --git a/packages/fakeyou/public/mascot/tou.webp b/packages/fakeyou/public/mascot/tou.webp new file mode 100644 index 0000000000..94c3155774 Binary files /dev/null and b/packages/fakeyou/public/mascot/tou.webp differ diff --git a/packages/fakeyou/src/v2/view/NewTopNavFc.tsx b/packages/fakeyou/src/v2/view/NewTopNavFc.tsx index c4d3b22a68..c10654e55f 100644 --- a/packages/fakeyou/src/v2/view/NewTopNavFc.tsx +++ b/packages/fakeyou/src/v2/view/NewTopNavFc.tsx @@ -16,6 +16,7 @@ import { faSignOutAlt, faComputer, faLaptop, + faBook, } from "@fortawesome/free-solid-svg-icons"; import { faDiscord, faPatreon } from "@fortawesome/free-brands-svg-icons"; import { Logout } from "@storyteller/components/src/api/session/Logout"; @@ -411,6 +412,16 @@ function NewTopNavFc(props: Props) { Patrons +
+ These are some tips to generate the best sounding text-to-speech. +
++ A TTS stroke is when the generated audio becomes garbled and + incoherent. +
++ This can be fixed by adding an ending punctuation as without + one, this will happen frequently. If the message still messes + up, add a comma at the start and end so the program can take a + brief pause and usually corrects it. +
++ Sometimes the TTS program cannot accurately read the word or you + want a word pronounced a certain way. You can experiment with + it. For example, to say the word "ass" with a certain hit, spell + it as "asz". Or another example, Games = Gaymes. +
++ To get a certain emotion and personality in the message you + want, add fluff. To do this, add the first sentence with words + that you have no intention of using. Like bunch of cursing and + such. " + + Fuck you bitch! I hate you! + {" "} + I cant believe you said that to me!". You can remove the first + sentence you had no intention of using in an audio editor of + your choice like Audacity. +
++ This only works if the dataset has yelling and transcript + properly. When you do the transcript of a character that yells, + add an exclamation mark on the transcript clip that has yelling + and periods for normal speech. This will easier trigger angry + emotions. But the yelling will likely not happen with smaller + datasets or if the yelling is not at all in the dataset. +
+