README.md

Voice Datasets

This directory contains the audio datasets for training custom RVC models.

Structure

Each subdirectory corresponds to a specific voice type:

• male_low/: Bass/Baritone male voices
• male_mid/: Tenor/Mid-range male voices
• female_low/: Alto/Contralto female voices
• female_high/: Soprano/High-range female voices
• anime_airy/: Breath/Airy anime-style voices
• accent_non_native/: Voices with distinct non-native accents
• singing_male/: Male singing vocals
• singing_female/: Female singing vocals
• child/: Child voices
• elderly/: Elderly voices

How to Add Data

1. Collect Audio: Gather 10-15 minutes of clean, single-speaker audio for the desired category.
2. Place Files: Put the raw audio files (mp3, wav, etc.) into a temporary folder or directly here.
3. Process: Use the provided tool to normalize and split the audio.

# Example: Processing a raw file into the male_low dataset
python tools/audio_preprocessor.py -i raw_audio/my_voice.mp3 -o datasets/male_low

Requirements

• Format: WAV (will be converted automatically)
• Sample Rate: 40kHz or 48kHz (will be converted automatically)
• Channels: Mono (will be converted automatically)
• Quality: No background noise, music, or reverb. Use UVR5 to clean if necessary.