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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!

emmafrost9797