I used the F5 TTS tool on Hugging Face and I generated 10 minutes of normal speech and trained it for 300 epochs on Google Colab.

Additional Details:

Tags: Popcap, Bookworm, Bookworm Adventures, huggingface, ai-model

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

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

elderly

middle aged adult

teenage

Music use

producer tag

speaking

adlibs

Style/timbre

villain

anime

deep

Use case

game

podcasts

education and e-learning

Sample deck

Lean and sweet spot

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

top 4.25 · avg 3.03

female

17

male

1

female base · pitch 0 Quality Score 3.84 · heard as female

Autorun

Run

male

-16 2.38 -12 2.45 -8 2.91 -4 2.90 0 1.92 4 2.48 8 2.55 12 2.78 16 2.88

female

-16 3.10 -12 3.83 -8 4.25 -4 3.94 0 3.84 4 2.92 8 3.78 12 2.89 16 2.69

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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