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: Game Freak, Nintendo, Anime, huggingface, ai-model

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

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

young adult

child

middle aged adult

Music use

speaking

rap

producer tag

Style/timbre

smooth

calm

warm

Use case

conversational

education and e-learning

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 4.72 · avg 3.72

female

12

male

6

female base · pitch 0 Quality Score 4.30 · heard as female

Autorun

Run

male

-16 1.64 -12 4.15 -8 3.31 -4 4.30 0 4.72 4 4.12 8 3.59 12 3.86 16 4.08

female

-16 2.28 -12 3.86 -8 3.84 -4 3.80 0 4.30 4 4.22 8 4.34 12 2.97 16 3.54

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

Similar voices

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Nearby voices from generated samples. Pick a pitch in the Sample Deck to refresh the matches.

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