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.

Additional Details:

Tags: Britt Allcroft, HIT Entertainment, Mattel, huggingface, ai-model

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

Download Link: https://huggingface.co/Ryanham1lton/JamesRR/resolve/main/James.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

teenage

Music use

adlibs

producer tag

speaking

Style/timbre

villain

anime

energetic

Use case

assistant agents

podcasts

game

Sample deck

Lean and sweet spot

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

top 4.94 · avg 4.46

female

6

male

12

male base · pitch 0 Quality Score 4.70 · heard as male

Autorun

Run

male

-16 4.47 -12 4.73 -8 4.94 -4 3.95 0 4.70 4 4.39 8 4.73 12 4.66 16 4.46

female

-16 3.88 -12 4.50 -8 4.77 -4 4.58 0 4.81 4 4.68 8 4.17 12 4.13 16 3.72

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

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