I used the squit model on 101soundboards and generated 7 minutes of normal speech and trained it on Google colab for 250 epochs.

Additional Details:

Tags: Goodfeathers, Animaniacs, huggingface, ai-model

Related URL: https://huggingface.co/Ryanham1lton/Squit/resolve/main/Squit.zip?download=true

Download Link: https://huggingface.co/Ryanham1lton/Squit/resolve/main/Squit.zip?download=true Hosted on Hugging Face

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Voice accords

Main sonic traits

Selected-sample labels, grouped by what they describe.

Age

young adult

teenage

middle aged adult

Music use

producer tag

spoken intro

speaking

Style/timbre

villain

serious

calm

Use case

game

podcasts

social

Sample deck

Lean and sweet spot

Pick a pitch, compare the Quality Score, then Run. Hold Ctrl or Cmd to select multiple pitches.

top 4.92 · avg 4.63

female

6

male

12

male base · pitch 0 Quality Score 4.89 · heard as male

Autorun

Run

male

-16 4.40 -12 4.59 -8 4.73 -4 4.92 0 4.89 4 4.92 8 4.12 12 4.92 16 4.55

female

-16 4.78 -12 4.88 -8 4.89 -4 4.81 0 4.81 4 4.80 8 4.68 12 3.91 16 3.75

heard female heard male Quality Score = estimated audio quality, higher is better Ctrl/Cmd-click = select multiple pitches

Similar voices

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