Name: Netta Barzilai | AI RVC Model
Brand: Weights
Rating: 4.6 (4 reviews)

WebKit

 Discover Netta Barzilai, our advanced AI Voice Model trained on the vocals of the Eurovision 2018 winner. With cutting-edge Retrieval-Based Voice Conversion (RVC) technology, our model captures Netta's unique voice quality, enabling incredible applications such as creating AI covers of her popular songs. Imagine generating personalized renditions of hits like "Toy," powered by Weights' state-of-the-art AI Music tools.

Our Netta Barzilai RVC Model masters various intonations, emotions, and styles present in her original recordings between 2018 and 2022, providing astonishingly accurate results when utilized with text-to-speech features. Whether you want to create engaging podcast episodes, innovative marketing campaigns, or simply explore new frontiers in music and sound creation—our powerful AI tool offers endless possibilities.

Transform your projects with the enchanting charm of Netta Barzilai's voice today! Try out our FREE AI tools for creating AI covers and text-to-speech content at weights.com now and unlock boundless creative potential.

Eurovision 2018 winner. Trained on vocals from 2018-2022.

Netta Barzilai

theslayage

James Charles (2024)

James Charles (Singing) (2024)

Lady Gaga (Live at Superbowl 2017)

Rhea Raj

Epochs: 400 Dataset Length: 3:14 Pitch Extraction: RMVPE D/L:

MØ (2015-2018)

MØ (2015-2018) (RMVPE 40k) (400 epoch) (RVC v2)

Last Kesha model I promise LMAO I have procrastinating on releasing my models. Epochs: 360 Dataset Length: 7:32 Pitch Extraction: RMVPE D/L:

Netta Barzilai

Description

Samples

Netta KD

Barzilai Fregozo