I used the F5 TTS tool on Hugging Face and I generated 10-15 minutes of normal speech and trained it on Google Colab for 250 epochs.

Additional Details:

Tags: Betty Crocker, huggingface, ai-model

Related URL: https://huggingface.co/Ryanham1lton/SydneyKangaroo/resolve/main/Sydney%20Kangaroo.zip?download=true

Download Link: https://huggingface.co/Ryanham1lton/SydneyKangaroo/resolve/main/Sydney%20Kangaroo.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

teenage

Music use

speaking

adlibs

rap

Style/timbre

anime

cute

energetic

Use case

assistant agents

education and e-learning

social

Sample deck

Lean and sweet spot

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

top 4.90 · avg 4.67

female

8

male

10

male base · pitch 0 Quality Score 4.73 · heard as male

Autorun

Run

male

-16 4.56 -12 4.80 -8 4.76 -4 4.85 0 4.73 4 4.80 8 4.80 12 4.45 16 4.51

female

-16 4.78 -12 4.79 -8 4.90 -4 4.79 0 4.73 4 4.78 8 4.66 12 4.52 16 3.88

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

Similar voices

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