Duke Nukem [ RIN E3 ]

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Duke Nukem [ RIN E3 ]

EnglishRVC V2FictionalRIN E3
Rayzox57 user image
Rayzox57
1 year ago
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2k

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Description

Before Start : I wanted to test the RIN E3 pre-training model again but this time with a very short but very good quality dataset (these are audios that were on an old external hard drive I can't find the source anymore but it's not from a game). This model is therefore more "experimental" I no longer have access to ElevenLabs "pro" so I had to refer to the "free" trial version which gives a more robotic TTS (less practical for testing) and don't count on my lousy English to test directly with my voice :kekw:. Last Update : <t:1707531572:R> Model URL : Version firev2: RVC V2.0 - RIN E3 Pitch Extraction Algorithm : RMVPE Epochs - Steps : 800 - 15.2k ~ 00:03:48 [ Duke Nukem Studio Voice - ??? ] Yes the dataset is very short Recommended Usage : Speech Search Feature Ratio : 0.75 Pitch : ( -12 10 = Man ) - Depend Base Voice Voice is Deep You can adjust if you find better version Previews : Preview_TTS.wav : Provide : ElevenLabs Free Demo - Joseph EN Contains External Effects : No Pitch 12 Feature Ratio : 0.75 Info : As mentioned above the tts is less expressive so the voice is just as expressive when applied with Applio. Preview_Cover.wav : Provide : Mustard - Ballin [ My DIY Acapella ] Contains External Effects : Yes Pitch 12 Feature Ratio : 0.75 Info : For Fun Important (Need Feedback) : I would need some feedback (not about the quality of the model itself) but about its fidelity because I know (having done some tests) that RIN E3 often provides a very good hearing quality but each time I have this strange feeling that the voice is different (it may be just an impression) but i need to be sure before continue to use this pretrain ! :nerddog:

Comments

thedoodooman user image
thedoodooman
1 year ago

🎸 🎸 🎸 🎸 🎸 🎸

thedoodooman user image
thedoodooman
1 year ago

my balls itch like fuck

thedoodooman user image
thedoodooman
1 year ago

🎸 🎸 🎸 🎸 🎸 🎸 🎸 🎸 🎸 🎸 🎸 🎸 🎸 🎸 🔥 🔥🔥🔥🔥🔥

sxndypz user image
sxndypz
1 year ago

i kick gum and chew ass. and i'm all out of ass.

litsa_the_dancer user image
litsa_the_dancer
1 year ago

well this does sound alright in terms of audio quality, however there is some very minimal amount of noise but thats not bc of the pre train really. your best bet would be to train the model with 40k base and compare them, also would u mind sharing the g/total, grad_g and grad_d graphs? make sure your smoothing is set to 0.987 and have ignore outliners on.

a long way from home user image
a long way from home
1 year ago

most datasets use around 10 mins of audio

a long way from home user image
a long way from home
1 year ago

eh whatever you say

a long way from home user image
a long way from home
1 year ago

but semi-unrelated the new pretrains are doing ai hub wonders rn

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Samples

New
Classic
1. Singing
Male
English
2. Singing
Female
English
3. Singing (Dry)
Female
English
4. Singing (High)
Female
English
5. Singing 2
Male
English
6. Singing (Dry)
Male
English
7. Singing (Dry, High)
Male
English

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Selected Audio
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