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

Additional Details:

Tags: Rareware, huggingface, ai-model

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

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

young adult

Music use

adlibs

producer tag

speaking

Style/timbre

villain

anime

energetic

Use case

podcasts

game

assistant agents

Sample deck

Lean and sweet spot

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

top 4.50 · avg 3.49

female

0

male

18

male base · pitch 0 Quality Score 4.04 · heard as male

Autorun

Run

male

-16 1.79 -12 4.50 -8 4.36 -4 3.73 0 4.04 4 3.35 8 3.38 12 3.56 16 3.34

female

-16 3.72 -12 3.87 -8 4.05 -4 4.49 0 4.10 4 4.08 8 2.45 12 2.11 16 1.87

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

Similar voices

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