Name: Barry Bear (The Angry Beavers) | AI RVC Model
Brand: Weights
Rating: 4.0 (5 reviews)

WebKit

Immerse yourself in the nostalgic audio realm of "Barry Bear" from the classic animated series "The Angry Beavers," brought back to life through Weights' advanced RVC Model. Our AI voice model is meticulously crafted, incorporating a robust dataset of 73 voice clips, each carefully selected to capture the essence of this beloved character. These clips range from 3 to 10 seconds, ensuring a comprehensive coverage of Barry Bear's vocal nuances.

Employing state-of-the-art RVC (Retrieval-Based Voice Conversion) technology, this model presents a unique avenue for AI music enthusiasts and creators to journey into voice synthesis that resonates with both quality and character authenticity. It's calibrated to work seamlessly with RMVPE training and is adaptable to various fundamental frequency (f0) adjustments. For optimal performance, it's advised to lower the pitch setting by -15 to -20, ensuring the output closely aligns with Barry Bear's original tone.

Dive into AI-driven creativity by utilizing this model to create AI covers that capture the spirit of "The Angry Beavers." Whether you're eager to experiment with Text-to-Speech applications or embark on AI music projects, our model stands as a testament to Weights' commitment to delivering exceptional AI tools.

Take advantage of our free AI tools at Weights today and unlock the potential to create AI covers or deploy Text-to-Speech solutions that resonate with your audience. Experience the synergy of nostalgia and innovation with Barry Bear's AI Voice Model!

Trained on a dataset of 73 voice clips from the show ranging from about 3-10 seconds long each. Trained with RMVPE but I believe it'll work well with most other f0's. You WILL need to lower the pitch setting by -15 to -20 or else the model won't sound accurate. If you're going to use this model credit to me would be greatly appreciated.

Barry Bear (The Angry Beavers)

AngryBeaverNerd

Trained on a dataset featuring every Norbert voice line from Nickelodeon All Star Brawl 2 lasting about a combined 6 minutes and 30 seconds long. Trained with RMVPE but I believe it'll work well with most other f0's. If you're going to use this model credit to me would be greatly appreciated. This model was supposed to be 250 epochs but Colab crapped out before it could be fully trained although thankfully I was able to extract a save with 150 epochs. I'm putting this up here for testing purposes only until I get the model fully trained.

Norbert Beaver (Nickelodeon All Star Brawl 2)

Trained on a dataset of 66 clear voice clips from the show ranging from about 3-10 seconds long each. Trained with and usually works best with Harvest, although on some occasions Crepe and/or Mangio-Crepe works better, especially when dealing with higher pitches. If youre going to use this model credit to me would be greatly appreciated. Huggingface Drive

Treeflower (The Angry Beavers) - Harvest

Treeflower (The Angry Beavers) - RVC V2 Harvest, 250 Epochs

Trained on a dataset of 64 clear voice clips from the show ranging from about 3-10 seconds long each. Trained with and usually works best with Harvest, although on some occasions Crepe and/or Mangio-Crepe works better, especially when dealing with higher pitches. As this is my first ever AI model I may or may not make an improved version of this model someday depending on what you guys think. If youre going to use this model credit to me would be greatly appreciated. If you want a good model to use for Daggett Id recommend using s Moxxie model, link here:

Barry Bear (The Angry Beavers)

Description

Samples

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