Name: Anna Zak [TITAN] | AI RVC Model
Brand: Weights
Rating: 4.2 (1 reviews)

Dive into the world of AI Music with our advanced RVC Model, titled "Anna Zak (Israeli Singer) [RVC V2] [TITAN] [250 Epochs]". Engineered on a high-quality dataset by @yraziel, this model captures the musical essence of Anna Zak, the renowned Israeli singer. With over 30 minutes of HQ studio tracks, the model encapsulates the voice nuances and melodic characteristics which make Anna Zak such a unique and popular figure in the music scene. The strength of this RVC Model lies in its training across 250 Epochs, leveraging the performance capabilities of the TITAN technology. Experience a perfect blend of machine and music with this specialized AI voice model and unlock potentials in the AI Music. Head over to Weights, your one-stop destination for AI solutions, and create AI covers or use it for Text-to-Speech conversion. Explore the wonders of modeling voices with impressive accuracy and quality, using our free AI tools. Come, let's revolutionize the music world together.

Dataset & training by @yraziel OVER 30 MINS of HQ studio tracks!

Anna Zak [TITAN]

Anna Zak (Israeli Singer) [RVC V2] [TITAN] [250 Epochs]

yraziel

Hanan Ben Ari

Hanan Ben Ari (Israeli Singer) [RVC V2] [450 Epochs]

Sara Natanyahu (WIfe of the Prime Minister of Israel)

Sara Natanyahu (WIfe of the Prime Minister of Israel) [RVC V2] [425 Epochs]

Ayala Hason (Israeli Journalist)

Ayala Hason (Israeli Journalist) [RVC V2] [250 Epochs]

Niv Gilboa (Israeli Journalist)

Niv Gilboa (Israeli Journalist) [RVC V2] [250 Epochs]

Eliyahu Yosian

Eliyahu Yosian [RVC V2] [200 Epochs]

Trained & Dataset by me - 25 min of studio recordings CREDIT ME IF USED

Eyal Golan

Eyal Golan (Israeli Singer) RVC V2 (425 Epochs) CREPE

Made by me Dataset made by me (2021-2023 Songs includes Acoustic Performances & except Some Songs are not in Streaming Stores except then) (22:40 minutes) (No Distortion Vocal Clips) Trained with crepe V2 13th RVC Model/12th RVC V2 Model. USE FEATURE RATIO TO 1.0 ALWAYS. Credit to me on Youtube & TikTok. UPDATED: Retrained With Mangio-Crepe Extraction & More Samples (Her Latest Song).

Noa Kirel

Noa Kirel (Israeli Singer)

crimsonzockt

Dataset & Training by @yraziel 40 mins of studio vocals

Eden Golan (Israeli Eurovision Candidate)

Eden Golan (Israeli Eurovision Candidate) [RVC V2] [RMVPE] [400 Epochs]

38 mins of RAW STUDIO VOCALS! Dataset & Training by @yraziel

Nasrin Kadri

Nasrin Kadri (Israeli Singer) [RVC V2] [375 Epochs]

MADE OF 40 MINUTES OF RAW STUDIO TRACKS Training & Dataset @yraziel

Narkis

Narkis (Israeli Singer) RMVPE [RVC V2] [400 EPOCHS)

Made of 100(!) minutes of RAW studio tracks from Eden's sessions.

Eden Ben Zaken STUDIO MODEL

Eden Ben Zaken (Israeli Singer) STUDIO MODEL [RVC V2] [RMVPE] [250 Epochs]

Over 45 mins of STUDIO QUALITY dataset - Dataset & Training by

Sarit Hadad

Sarit Hadad (Israeli Singer) [RVC V2] [500 Epochs]

Training & Dataset by @yraziel MADE OUT OF 40 MINS OF RAW STUDIO TRACKS!

Noa Kirel (Israeli Supperstar)

Noa Kirel (Israeli Supperstar) RMVPE [RVC V2] [300 EPOCHS]

Peer Tasi

Peer Tasi (Israeli Singer) [rvc v2] [500 Epochs]

made out of 57 mins of studio vocals Training & Dataset by @yraziel

Anna Zak [TITAN]

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Eyal Golan

Noa Kirel

Eden Golan (Israeli Eurovision Candidate)

Nasrin Kadri

Narkis

Eden Ben Zaken STUDIO MODEL

Sarit Hadad

Noa Kirel (Israeli Supperstar)

Peer Tasi

Osher Cohen

Saiba Momoi (Blue Archive)

Villager (Minecraft)

Sas (Counter-strike global offensive)

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

Fang [Brawl Stars]

Jay (ENHYPEN)

Satoru Gojo (JJK) [VA Yuichi Nakamura]

Mortis [Brawl stars]

Jungkook (BTS)

ENHYPEN Heeseung

Sonic The Hedgehog [Roger Craig Smith]

CaseOh

Takanashi Hoshino (from Blue Archive)

Surge (brawl Stars)

Saiba Momoi (Blue Archive) (VA: Tokui Sora)

SpongeBob SquarePants (Talking And Singing)

Melodie - (Brawl Stars) - (English & Korean Voices)

Miss Circle (Fundamental Paper Education)

Ariana Grande AI

JP Furina / Focalors CV: Inori Minase (Genshin Impact)