Name: Lena Katina (t.A.T.u.) | AI RVC Model
Brand: Weights
Rating: 4.8 (11 reviews)

 Introducing our latest advanced AI voice model, "Lena Katina (t.A.T.u.) RVC" (300 epoch), now available at Weights! This state-of-the-art Retrieval-Based Voice Conversion (RVC) model has been trained on the vocals of Lena Katina, former lead singer of the iconic pop duo t.A.T.u. With an impressive 300 epochs, it delivers incredibly authentic and expressive vocal performances, making it perfect for creating realistic AI covers and text-to-speech applications.

Our cutting-edge AI music tool empowers musicians, producers, and developers alike by offering a unique opportunity to generate captivating, customized tracks using the distinctive sound of one of the most popular Russian singers. Integrate her unforgettable tone into your projects, whether you're looking to produce AI covers, remixes, original compositions, or innovative speech synthesis solutions.

To get started with the remarkable Lena Katina (t.A.T.u.) RVC model, dive into our user-friendly platform and explore the endless possibilities offered by our powerful suite of free

Lena Katina (t.A.T.u.)

Lena Katina ( t.A.T.u.) RVC  ( 300epoch)

Julia Volkova (t.A.T.u.)

Julia Volkova ( t.A.T.u. ) 1000 epochs

Voice model of Yulia Volkova trained in Colab to 500 epochs on a dataset of processed studio recordings speaking and live focused on getting her to scream! In higher ranges at index ratio 1 it seems to be working! This model is a rework of my old models from so-vits and in higher ranges may even be superseded by jpopkaraoke's for which I (very happily!) provided the dataset. I will be uploading a 500 epoch Lena model as a complement to their 300 epoch model. Using one or both of these Yulia models may be beneficial for different vocal ranges. jpopkaraoke's Yulia/Julia model: Notes there are some audio that neither of these voice models will be good for converting harsh vocals like Chester Bennington screams etc. Inputting vocals that are screaming can make the pitch dip down instead of interpreting the correct pitch. This is because of the way pitch estimation works in RVC and I haven't found one model or conversion method to combat it. Besides that there is a delicate balance between getting her to scream and not and playing with index value 0 and 1 respectively seems to do some kind of magic. Multiple takes may be needed with different index values or even re-singing troublesome parts of acapellas yourself. For my own covers I re-sing everything multiple times to avoid this. Trying a wide range of index values will give interesting results. Higher index values tend to sound better upon testing like studio recording however again like all other models your mileage may vary. If you want a screaming model you may have to try a dataset of harsher vocals! I am willing to do this if anyone asks! I may need to rely on donations at this point to increase my colab subscription though.

Yulia Volkova (t.A.T.u.)

ADR3-N

Anna Asti Russian Singer

Anna Asti Russian Singer (RVC 2) (300 epochs)

nifals

dataset taken from 30 minutes of official studio acapellas from her 2000 album "oops!... i did it again". YOU MUST CREDIT whenethanfallsinlove IF YOU USE THIS MODEL

Lena Katina (t.A.T.u.)

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Julia Volkova (t.A.T.u.)

Yulia Volkova (t.A.T.u.)

Anna Asti Russian Singer

britney spears (oops!... i did it again era)

Julia Volkova (t.A.T.u.)

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FIXED HATSUNE MIKU V3 - VOCALOID [SCROLL DOWN FOR LINK]

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