I used the F5 TTS tool on Hugging Face and I generated 10-15 minutes of normal speech and trained it on Google Colab for 250 epochs.

https://www.youtube.com/@theniftytable

Additional Details:

Tags: Steel Wool, Impressions, YouTubers, huggingface, ai-model

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

Download Link: https://huggingface.co/Ryanham1lton/BonnieTNT/resolve/main/Bonnie.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

elderly

teenage

Music use

producer tag

singing

a song hook

Style/timbre

anime

villain

energetic

Use case

education and e-learning

game

podcasts

Sample deck

Lean and sweet spot

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

top 5.11 · avg 4.56

female

7

male

11

male base · pitch 0 Quality Score 5.03 · heard as male

Autorun

Run

male

-16 4.18 -12 4.79 -8 5.00 -4 5.11 0 5.03 4 4.92 8 4.97 12 4.75 16 4.79

female

-16 4.57 -12 4.98 -8 4.93 -4 4.84 0 4.91 4 4.74 8 4.51 12 2.26 16 2.74

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

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