I used the F5 Zero TTS tool on Hugging Face and generated 6 minutes of normal speech and trained it on Google colab for 250 epochs.

Tip: Raise the transpose number and pitch for better accurate results, for a male to male voice between +6 to +12 is accurate.

Additional Details:

Tags: Nintendo, huggingface, ai-model

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

Download Link: https://huggingface.co/Ryanham1lton/Goosey/resolve/main/Goosey.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

child

middle aged adult

Music use

rap

adlibs

speaking

Style/timbre

cute

smooth

raspy

Use case

education and e-learning

podcasts

conversational

Sample deck

Lean and sweet spot

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

top 3.76 · avg 3.05

female

18

male

0

female base · pitch 0 Quality Score 3.49 · heard as female

Autorun

Run

male

-16 2.01 -12 2.02 -8 2.39 -4 2.87 0 3.05 4 2.96 8 3.69 12 3.76 16 3.66

female

-16 2.94 -12 3.32 -8 3.27 -4 3.32 0 3.49 4 3.51 8 3.22 12 2.92 16 2.53

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

Similar voices

This voice model sounds like

Nearby voices from generated samples. Pick a pitch in the Sample Deck to refresh the matches.

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