I used the Dug model on 101soundboards and generated 7 minutes of normal speech and trained it on Google colab for 250 epochs.

Additional Details:

Tags: Aardman, huggingface, ai-model

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

Download Link: https://huggingface.co/Ryanham1lton/DugER/resolve/main/Dug.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

teenage

middle aged adult

Music use

music

rap

producer tag

Style/timbre

smooth

anime

villain

Use case

social

podcasts

education and e-learning

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 4.07

female

11

male

7

female base · pitch 0 Quality Score 4.55 · heard as female

Autorun

Run

male

-16 2.50 -12 3.25 -8 2.52 -4 4.42 0 4.80 4 4.94 8 4.85 12 4.94 16 4.66

female

-16 3.69 -12 3.72 -8 4.43 -4 4.49 0 4.55 4 4.28 8 4.29 12 3.74 16 3.12

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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