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: Lower the transpose number and pitch for better accurate results.

Additional Details:

Tags: Disney, huggingface, ai-model

Related URL: https://huggingface.co/Ryanham1lton/ShereKhanTJ/resolve/main/Shere%20Khan.zip?download=true

Download Link: https://huggingface.co/Ryanham1lton/ShereKhanTJ/resolve/main/Shere%20Khan.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

elderly

Music use

adlibs

producer tag

a song hook

Style/timbre

villain

anime

deep

Use case

podcasts

assistant agents

advertisements

Sample deck

Lean and sweet spot

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

top 4.87 · avg 4.11

female

0

male

18

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

Autorun

Run

male

-16 4.53 -12 4.69 -8 3.80 -4 4.87 0 4.62 4 4.46 8 4.40 12 3.61 16 3.79

female

-16 4.50 -12 4.71 -8 4.59 -4 4.50 0 4.43 4 2.42 8 3.18 12 2.76 16 4.18

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

Similar voices

This voice model sounds like

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

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