I used the F5 TTS tool on Hugging Face and I generated 12 minutes of normal speech and trained it on Google Colab for 250 epochs.

Additional Details:

Tags: Honey Nut Loops, Kellogg's, huggingface, ai-model

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

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

middle aged adult

young adult

teenage

Music use

a song hook

producer tag

adlibs

Style/timbre

villain

cute

serious

Use case

podcasts

education and e-learning

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 4.52

female

6

male

12

male base · pitch 0 Quality Score 4.62 · heard as male

Autorun

Run

male

-16 4.34 -12 4.67 -8 4.88 -4 4.81 0 4.62 4 4.79 8 4.92 12 4.89 16 4.88

female

-16 4.65 -12 4.63 -8 4.66 -4 4.59 0 4.60 4 4.66 8 4.29 12 3.45 16 3.12

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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