I used a snippet of clean audio clips from the film Migration and used the F5 TTS tool on Hugging face and generate 3 minutes of normal speech and trained it on Google colab for 250 epochs.

Additional Details:

Tags: Universal, huggingface, ai-model

Related URL: https://huggingface.co/Ryanham1lton/DaxMallard/resolve/main/Dax%20Mallard.zip?download=true

Download Link: https://huggingface.co/Ryanham1lton/DaxMallard/resolve/main/Dax%20Mallard.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

middle aged adult

teenage

Music use

producer tag

rap

adlibs

Style/timbre

anime

cute

villain

Use case

game

social

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 4.92 · avg 4.03

female

13

male

5

female base · pitch 0 Quality Score 3.70 · heard as female

Autorun

Run

male

-16 3.11 -12 3.29 -8 4.03 -4 4.92 0 4.92 4 4.91 8 4.28 12 4.22 16 4.43

female

-16 3.81 -12 4.36 -8 4.38 -4 4.26 0 3.70 4 4.30 8 3.99 12 3.05 16 2.60

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

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