 Introducing the Jacob Zuma (RVC v2) (200 Epochs), an advanced AI Voice Model powered by Retrieval-Based Voice Conversion (RVC) technology. Trained on parliamentary speeches, this model captures the unique vocal characteristics and cadences of former South African President, Jacob Zuma. With 200 epochs of training, this model delivers highly accurate text-to-speech capabilities, making it perfect for those looking to recreate his iconic voice.

Our Jacob Zuma (RVC v2) model excels at creating AI covers, allowing users to input their own text and generate speech in Mr. Zuma's distinctive style. Whether you're interested in political commentary, satire, or simply exploring the possibilities of AI music, our tool offers endless opportunities for creativity.

Aside from its applications in entertainment, this cutting-edge AI Voice Model also boasts practical uses. Businesses and organizations seeking tailored solutions for public speaking engagements, promotional materials, or other audio projects may find our Jacob Zuma model particularly useful. By offering an authentic representation of one of the world's most influential leaders, we help ensure your

collected and trained by me (via harvest). Dataset taken from parliamentary speeches and then enhanced with Adobe Podcast + trained with 10:06 minutes of audio (mostly English audio but also some isiZulu audio; however, clicks DO NOT work as far as I'm concerned - I could update that if necessary). Only trained on speaking (no singing; however, I will send a singing demo below)

Jacob Zuma

Jacob Zuma (RVC v2) (200 Epochs)

spiiidey

- Creator / Dataset - Extraction method: RMVPE - Epochs: 500 - Dataset length: 06:33 (from available songs on P2: The Big Hearted Bad Guy + others) - Link Note: From testing the model, I would recommend using RMVPE / RMVPE+ for inference [I've found that RMVPE+ works best] . Raw acapella vocals work BEST for this model. DM me for inquiries about private models __My Models__ - Brett Cooper (RVC v2) 250 Epochs - Jacob Zuma (RVC v2) 200 Epochs -

A-Reece

A-Reece (RVC v2) 500 Epochs

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

Tyla

Training mode: Harvest Dataset length: 5 minutes 38 seconds Taken from: Link Dataset collected and model trained by me. - One TTS demo. - One speech-to-speech demo. - One singing demo.

Jacob Zuma

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