I used the F5 TTS tool on Hugging Face and I generated 13 minutes of normal speech and trained it on Google Colab for 250 epochs.

Additional Details:

Tags: Hanna-Barbera, huggingface, ai-model

Related URL: https://huggingface.co/Ryanham1lton/HuckleberryHound/resolve/main/Huckleberry%20Hound.zip?download=true

Download Link: https://huggingface.co/Ryanham1lton/HuckleberryHound/resolve/main/Huckleberry%20Hound.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

rap

Style/timbre

serious

villain

anime

Use case

education and e-learning

advertisements

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 3.97 · avg 2.81

female

3

male

15

male base · pitch 0 Quality Score 3.78 · heard as male

Autorun

Run

male

-16 1.58 -12 1.71 -8 2.28 -4 3.90 0 3.78 4 3.97 8 3.82 12 3.26 16 2.05

female

-16 2.71 -12 2.96 -8 2.59 -4 2.46 0 2.95 4 3.11 8 3.05 12 2.10 16 2.27

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

Similar voices

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