I used the F5 TTS tool on Hugging Face to generate 15 minutes of normal speech and trained it on Google Colab for 250 epochs.

Additional Details:

Tags: Hanna-Barbera, huggingface, ai-model

Related URL: https://huggingface.co/Ryanham1lton/WallyGator/resolve/main/Wally%20Gator.zip

Download Link: https://huggingface.co/Ryanham1lton/WallyGator/resolve/main/Wally%20Gator.zip Hosted on Hugging Face

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Voice accords

Main sonic traits

Selected-sample labels, grouped by what they describe.

Age

young adult

middle aged adult

elderly

Music use

adlibs

rap

producer tag

Style/timbre

smooth

villain

anime

Use case

advertisements

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 4.46 · avg 3.91

female

1

male

17

male base · pitch 0 Quality Score 4.06 · heard as male

Autorun

Run

male

-16 2.94 -12 3.85 -8 4.17 -4 4.09 0 4.06 4 3.91 8 3.64 12 4.00 16 3.85

female

-16 3.91 -12 3.96 -8 4.46 -4 4.39 0 4.37 4 4.27 8 4.27 12 3.48 16 2.72

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

Similar voices

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

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