John Oliver
- Mangio-Crepe - Batch 8 · 32 hop length
https://huggingface.co/ai-characters/AI-Voice-Models-by-AI_Characters/resolve/main/johnoliver-12min_truncated-rvc2-40k-mangio32-batch8_e39_s1482_by-AI_Characters.zip
Audition Across 18 Pitch References
Click any semitone cell below to hear how this voice performs on female and male reference vocals and lock your preferred pitch.
Sonic Profile at Selected Pitch
Acoustic traits measured directly from the generated output sample. Switch pitches in the Sample Deck to see how timbre shifts.
Architecture: RVC v2 · Pitch Extractor: Mangio-Crepe · Training: 39 Epochs · Source Host: Hugging Face
Voices That Sound Like John Oliver
Close but not quite the right fit? Audition nearby candidates matched by vocal embedding and timbre.
About John Oliver - RVC2 - Mangio-Crepe (32 hop length) - Batch 8 - 39 epochs
<https://huggingface.co/ai-characters/AI-Voice-Models-by-AI_Characters/resolve/main/johnoliver-12min_truncated-rvc2-40k-mangio32-batch8_e39_s1482_by-AI_Characters.zip> Model created by me (AI_Characters). Please @ my Twitter or Instagram accounts when using my model. I would love to know when it is used! If you want to support what I am doing, donations to my Ko-Fi (https://ko-fi.com/aicharacters) would be greatly appreciated! Those will go towards funding the renting of GPUs for further experimentation and model making. Dataset is from his latest episode uploaded to YouTube titled "Biden and the Border" - Dataset was silence-truncated and edited down to 12 mins of pure audio of him Does very well for speech, but does less well for songs. It highly depends on the song in question as the dataset does not include him singing and he has such a deep voice. I recommend keeping search feature ratio at or close to 0 for singing. Inference settings used for these samples, except for 0.5 feature search ratio for the speech sample: Mangio-Crepe, 64 hop length, 3 median filter, 0.2 volume envelope, 0.1 protect Any helpful and honest critique of the model is greatly appreciated!