Name: Frieren (Frieren) (VA: Mallorie Rodak) | AI RVC Model
Brand: Weights
Rating: 4.4 (19 reviews)

Introducing Frieren, our advanced Retrieval-Based Voice Conversion (RVC) Model named after the beloved character from the popular manga series. Powered by artificial intelligence, Frieren excels at creating realistic and engaging voiceovers, making it perfect for text-to-speech applications. With its impressive capabilities, you can now generate AI music covers using our state-of-the-art technology. Simply input your desired melody, and let Frieren work its magic.

Perso-vere has trained Frieren extensively, resulting in a highly accurate and expressive voice model. Based on the extraction type "mangio-crepe," Frieren boasts improved intonation and inflection compared to other RVC models available in the market. Moreover, we have utilized high-quality recordings from renowned voice actress Mallorie Rodak during training, ensuring naturalness and authenticity throughout every output.

To start leveraging the power of Frieren today, take advantage of our user-friendly platform and try out our free AI tools to create captivating AI covers or utilize top-notch text-to-speech features effortlessly. Explore new hor

Name: Frieren (Frieren) (VA: Mallorie Rodak) RVC: v2 Extraction type: mangio-crepe Number of epochs/steps: 150/15000 : A model of Frieren from the anime Frieren. This is from the English dub. 150 epochs 15000 steps. My 3rd revision of the model based on a dataset of 42 minutes of audio from the dub of the anime.

Frieren (Frieren) (VA: Mallorie Rodak)

Perso-vere

Name: Frieren (Frieren) (VA: Mallorie Rodak)
RVC: v2
Extraction type: mangio-crepe
Number of epochs/steps: 150/15000
Link: https://huggingface.co/reddrumm/RVCModels/resolve/main/FrierenFrierenv3_e150_s15000_RVC.zip
Note: A model of Frieren from the anime Frieren. This is from the English dub. 150 epochs, 15000 steps. My 3rd revision of the model, based on a dataset of 42 minutes of audio from the dub of the anime.

Al menos aquí está mucho mejor que la Japonesa (por lo Menos dentro de Weights).

XavierAiCovers.

Name: FedNet announcer (Starship Troopers) (VA: John Cunningham) RVC: v2 (Ov2Super base) Extraction type: mangio-crepe Number of epochs/steps: 265/2385 : A model of the iconic 'Would you like to know more' announcer from the cult classic movie "Starship Troopers".

Starship Troopers FedNet Announcer : Would you like to know more? (John Cunningham)

Name: Stark (Frieren) (VA: Jordan Dash Cruz) RVC: v2 Extraction type: mangio-crepe Number of epochs/steps: 174/9570 : A model of Stark from the anime Frieren. This is from the English dub. 174 epochs 9570 steps. My 3rd revision of the model based on a dataset of 20 minutes of audio from the dub of the anime.

Stark (Frieren) (VA: Jordan Dash Cruz)

Name: Heather Mason (Silent Hill 3) (VA: Heather Morris) RVC: v2 Extraction type: mangio-crepe Number of epochs/steps: 400/8000 Source data: 6 minutes from converted game recordings de-reverbed isolated and cleaned up. model of Heather from Silent Hill 3. This is from the English dub. The audio is a little flangey as the original recordings for the game sound like they were recorded in a small booth. I may try and clean these up and repost if I can find some good software or model to remove this.

Heather Mason (Silent Hill 3) (VA: Heather Morris)

Name: Fern Older (Frieren) (VA: Jill Harris) RVC: v2 Extraction type: mangio-crepe Number of epochs/steps: 272/16864 : A model of Fern from the anime Frieren. This is the older-aged Fern from the English dub. 272 epocs 16864 steps. My 4th revision of the model based on a dataset of 25 minutes of audio from the dub of the anime.

Fern (Frieren) (VA: Jill Harris)

RVC: v2 Extraction Type: mangio-crepe 64 Epochs/Steps: 400/3600 Dataset Size: 4 minutes, 30 seconds < Works okay with quiet, medium and loud speaking and seems to be okay at low and high pitch.

Nitta (Hinamatsuri) (VA:Jarrod Greene)

Nitta (EN) (Hinamatsuri) (VA:Jarrod Greene)

Yes, another Ryo Yamada model. I decided to give this a shot. Trained on 3 minutes 38 seconds of filtered audio from the anime.

Ryo Yamada [Bocchi The Rock]

Ryo Yamada [Bocchi The Rock] [JP] (RVC v2) (250 Epochs) (Mangio-Crepe)

Dataset and training by me Her voice is really quiet, so don't expect the model to work on loud voices link to HF: <

Frieren (Frieren) (VA: Mallorie Rodak)

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Ryo Yamada [Bocchi The Rock]

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ENHYPEN Heeseung

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