I used audio clips from the Looney Tunes short Each Dawn I Crow and trained it on Google colab for 250 epochs.

Additional Details:

Tags: Warner Bros., huggingface, ai-model

Related URL: https://huggingface.co/Ryanham1lton/NarratorEDIC/resolve/main/Narrator%20(Looney%20Tunes%20-%20Each%20Dawn%20I%20Crow).zip?download=true

Download Link: https://huggingface.co/Ryanham1lton/NarratorEDIC/resolve/main/Narrator%20(Looney%20Tunes%20-%20Each%20Dawn%20I%20Crow).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

elderly

middle aged adult

young adult

Music use

adlibs

singing

a song hook

Style/timbre

villain

anime

energetic

Use case

audiobook narration

podcasts

narration

Sample deck

Lean and sweet spot

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

top 4.76 · avg 4.00

female

1

male

17

male base · pitch 0 Quality Score 4.71 · heard as male

Autorun

Run

male

-16 4.01 -12 4.56 -8 4.76 -4 4.71 0 4.71 4 3.96 8 3.57 12 3.62 16 2.56

female

-16 4.02 -12 4.60 -8 4.57 -4 4.37 0 4.35 4 3.73 8 3.84 12 2.79 16 3.29

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

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