Spyro The Dragon (The Legend of Spyro: The Eternal Night)

πŸ“£

From the creator

"You can make spyro say anything its not the old voice from the 90s but get's the job done. (No Credit but would be nice)"

Description

Introducing our advanced AI Voice Model, "Spyro The Dragon (The Legend of Spyro: The Eternal Night)" (RVC v2, 250 Epochs), now available at Weights! This cutting-edge model utilizes Retrieval-Based Voice Conversion (RVC) technology to bring you a modernized version of the beloved character's voice. With 250 epochs, it has been trained extensively to provide highly accurate and versatile vocal capabilities. Our Spyro model excels in creating AI covers and text-to-speech applications, ensuring authenticity while maintaining up-to-date audio quality. It's perfect for revitalizing classic games, producing engaging podcast intros, or even crafting unique music projects featuring iconic voices. Unlock your creativity and take advantage of our powerful AI toolset by trying out our Spyro model today. Experience the seamless fusion of nostalgia and innovation as you generate impressive text-to-speech content or create captivating AI covers effortlessly. Join us at Weights and start exploring the endless possibilities with our state-of-the-art AI Voice Models – try it out for

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Weekly Metrics

Samples

New
Classic

Pitch

0

1

Male

Singing

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2

Female

Singing

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3

Female

Singing (Dry)

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4

Female

Singing (High)

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5

Male

Singing 2

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6

Male

Singing (Dry)

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7

Male

Singing (Dry, High)

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Comments

spare.datspare.dat

Very compressed for the voice.

It also doesn't sound much like the voice in the game if I'm remembering TLOS correctly.

What did you train it on?

spare.datspare.dat

EasyGUI.

With Harvest or Crepe?

spare.datspare.dat

Crepe

spare.datspare.dat

can you tell me how to improve on it

use Mango crepe or if your dataset isn't good use Harvest.

also use RVC v2 48k.

Harvest is good for iffy datasets that are noisy or/and compressed.

It covers up the noise and gets the best voice.

Mango Crepe is best for noise free datasets.

You can also clean up the dataset by isolating vocals and removing any background noise.

That also helps as well.

spare.datspare.dat

thank you

But if i train my model on harvest and i make inference with mangio crepe it will sound good?

You can inference with something like Mango crepe even after you train with harvest.

It mainly focuses on wether you want better quality or less noise.

Noisy datasets are better with harvest and the safest bet.

Noise free are worth trying with Mango crepe.

After training Mango Crepe is best for quality while Harvest is best if Mango Crepe can't keep the pitch right.

But what if i have only a bit of barely audible noise on the dataset?

Use audacity to do a noise gate.

it will remove the noise.

if that doesn't remove it try rx 9 by izotope.

I don't have RX9 and i don't know how to use it

Did you try audacity's noise gate?

or noise reduction?

If you do noise reduction you need to get the profile first by highlighting the area with noise getting the profile selecting all then doing the reduction.

Thanks

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