male_singing_1

female_singing_2

male_singing_2

female_singing_1

Many of you were asking for this so here it is.

Trained on HQ acapellas for Stay, Room To Breathe, Let Me Let Go, Bigger Man, and All That You Need Is In You,

Vocalista actual de los plebes del rancho 

Minnie Mouse from Mickey Mouse Clubhouse and Disney Kids YouTube Channel

Voz da versão do YouTube dublado português dublado PT BR 

Dataset trained off recent album. Demo model only will release final version at later date.

Veronica Merrell (born in August 6, 1996) is an American YouTuber who owns the merrelltwins channel in YouTube.

Cartoon Network UK Powerhouse Era (1998-2002)

A Reference To That Lady Who Was The First The Fly The Ocean. That Is Amelia Earhart. Not Just Amelia The Submarine.

🎤歌には少し自信があります。
アイドルはこれから勉強したいと思います。

I got the voice how I wanted it first one was quiet 2nd was my irl voice but here's the update one! 

María Isabel is a up and coming r&b New York native who makes Spanish and English r&b songs.

I'm better i'm stronger i'm smarter i'm better! (if you use this model give me a credit)

Nora Lum, who uses the stage name Awkwafina, is an award-winning American actress, rapper, comedian, and producer. Born in Stony Brook, New York in 1988, she first gained recognition in 2012 for her explicit comedy rap "My Vag", which became popular on YouTube. She released her debut album, Yellow Ranger, and appeared in the MTV series Girl Code. Awkwafina has also acted in the films Crazy Rich Asians and Ocean's 8. 

Title: How I Trained My AI Vocal Model (Full Workflow & Settings)Hey everyone! I just finished training a new AI vocal model, and I wanted to share my exact process and settings with the community. You can hear the final results here: [Insert Link to Audio]1. Dataset PreparationSource Material: [Studio acapellas / Interviews / Podcast audio]Total Length: [e.g., 20 minutes] of raw audio, cropped down to exactly 6 minutes of the highest-quality, dry vocals.Processing: I used [Vocal Remover / Ultimate Vocal Remover v5] to eliminate background noise, reverb, and instruments.2. Training DetailsSoftware: [e.g., RVC v2 / Applio]Epochs: [e.g., 200 epochs]Batch Size: [e.g., 8]Target Sample Rate: [e.g., 40k or 48k]3. Post-Processing & OutputTo get the final track, I applied a bit of [reverb / compression / EQ] in my DAW to help the AI vocal blend naturally with the instrumental.Key Takeaway: I found that having a shorter, 6-minute dataset of perfectly clean audio yielded much better results than a 30-minute dataset with background noise. Happy to answer any questions about the settings in the comments!

Trained via studio acapellas from 2014 to present. 

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