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

Tip: Raise the transpose number and pitch for better accurate results.

Additional Details:

Tags: Jim Henson, PBS, huggingface, ai-model

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

Download Link: https://huggingface.co/Ryanham1lton/BuddyPC/resolve/main/Buddy.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

child

teenage

young adult

Music use

speaking

rap

adlibs

Style/timbre

cute

smooth

anime

Use case

education and e-learning

assistant agents

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 4.85 · avg 4.07

female

15

male

3

female base · pitch 0 Quality Score 4.13 · heard as female

Autorun

Run

male

-16 2.77 -12 4.25 -8 3.70 -4 4.18 0 3.45 4 3.69 8 3.53 12 4.85 16 4.50

female

-16 4.39 -12 4.72 -8 4.67 -4 4.57 0 4.13 4 4.63 8 4.36 12 3.94 16 2.96

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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