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.

Tip: For a male to female voice, raise the transpose number and pitch to get better accurate results.

Additional Details:

Tags: Disney, Jim Henson, Sesame Workshop, huggingface, ai-model

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

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

teenage

Music use

rap

adlibs

speaking

Style/timbre

anime

smooth

cute

Use case

assistant agents

education and e-learning

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 4.26 · avg 3.27

female

12

male

6

female base · pitch 0 Quality Score 3.71 · heard as female

Autorun

Run

male

-16 2.05 -12 3.15 -8 3.55 -4 3.51 0 3.02 4 3.79 8 3.76 12 4.26 16 4.18

female

-16 3.28 -12 3.22 -8 3.14 -4 3.59 0 3.71 4 3.13 8 2.97 12 2.58 16 1.97

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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