Tyla
RVC v2EnglishArtist

πŸ“£

From the creator

"Creator / Dataset Extraction method: RMVPE Epochs: 500 Dataset length: 04:12 (from available songs on TYLA + "Getting Late") : From testing the model I would recommend using RMVPE / RMVPE+ for inference. Raw acapella vocals work BEST for this model. All audios except for needy were inferred with raw vocals; however processed vocals still work. My Models Brett Cooper (RVC v2) 250 Epochs Jacob Zuma (RVC v2) 200 Epochs"

Description

Introducing Tyla (RVC v2) 500 Epochs, the advanced AI voice model by Weights that uses Retrieval-Based Voice Conversion (RVC) technology to provide realistic and high-quality text-to-speech and music generation capabilities. This innovative model has been trained using the cutting-edge RMVPE extraction method for 500 epochs, resulting in enhanced precision and accuracy in its outputs. With a dataset length of 04:12 extracted from popular songs, Tyla (RVC v2) 500 Epochs offers remarkable versatility, allowing you to generate unique AI covers of your favorite tunes effortlessly. Try out our free AI tools today and experience the power of Tyla's exceptional abilities for yourself!

See more

Weekly Metrics

Samples

New
Classic

Pitch

0

#1

Male

Singing

πŸ‡ΊπŸ‡Έ English

#2

Female

Singing

πŸ‡ΊπŸ‡Έ English

#3

Female

Singing (Dry)

πŸ‡ΊπŸ‡Έ English

#4

Female

Singing (High)

πŸ‡ΊπŸ‡Έ English

#5

Male

Singing 2

πŸ‡ΊπŸ‡Έ English

#6

Male

Singing (Dry)

πŸ‡ΊπŸ‡Έ English

#7

Male

Singing (Dry, High)

πŸ‡ΊπŸ‡Έ English

Comments

Note updated link

Add a comment

Post
Selected Audio
Selected Audio