tgm_en_v100 - Updated English SOFA Model (With much better results than before!)

[spicytigermeat]

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New English SOFA model trained on data only labelled by myself or hand verified by myself. I was having lots of issues with past models so I decided to do some experiments. I'll be doing more in the future, but I am happy with the results this got, so I'm gonna come back to it at another point. Trained on SOFA v1.0.3

Known Issues:

• Sometimes when an [r] follows a vowel, it doesn't get labelled properly.
• Needs more high range/femme voice data.
• Biggest issue is the dictionary. I notice when the phonemes aren't exact, the model struggles to place them, but when they're manually edited in the transcription editor, the placements of phonemes are much more accurate.

Training Data information:

Name | Voice Provider

A. (Unrevealed) | N.
Bitter | Guillotama
Canary | Mina Moonrise
C.B. (Unrevealed) | M.B.
Leif | FerretFather
Luther | imsupposedto
Miyo | ShiWeiMigi
TIGER | tigermeat
TRITON | Ryan M.

Model Information:

Release Date: 18 August 2024
Model version: v100
Languages used: English (American & British accented)
Phoneme Set: Arpabet + tr, dr, ax & dx
Dictionaty used: This one
Applicability: Singing
Training Data: See above
GPU: 3090 24GB
Steps: 8.5k (batch size of 1000)
Pretrained Model Used: ariika's JPN model.
Public Use: Approved
Commercial Use: Approved (You can generate revenue using a voicebank labelled with this model, attribution is not required but is appreciated.)