Buckets:
metadata
tags:
- rvc
- voice-conversion
- quran
- arabic
- vintage
- ai-voice
license: mit
datasets:
- elgohary47/sheikh_refaat_dataset
language:
- ar
base_model:
- IAHispano/Applio
pipeline_tag: audio-to-audio
Sheikh Muhammad Refaat (RVC v2) - 250 Epochs
This is a high-quality RVC v2 model of Sheikh Muhammad Refaat, trained on 30 minutes of restored vintage audio.
Usage Recommendations
To get the authentic "Vintage Radio" sound, use these settings in RVC/Applio:
- Pitch (Transpose):
-2or-3(If your voice is higher/younger).0(If using a professional imitator as input).
- Index Rate:
0.75(Critical for the grainy texture). - Resample:
0(Do not change). - Protect Voiceless Consonants:
0.33(Keeps breathing natural). - Hop Length:
128(Better for slow recitation).
Pipeline for Best Results
Since Sheikh Refaat has a unique Maqam style, do not use your own voice directly.
- Find a recording of Sheikh Muhammad Omran (imitating Refaat).
- Remove reverb using UVR5.
- Use that clean audio as the input for this model.
Files Included
.pth: The model weights (250 Epochs)..index: The feature index (Essential for texture).
Trained by: elgohary47 Dataset: Restored 1940s Radio Archives(elgohary47/sheikh_refaat_dataset)
Xet Storage Details
- Size:
- 1.32 kB
- Xet hash:
- 58de075b24e84ecbd6d63a870a013492a3947dd7c6a79e90caa5cefc8a70b05e
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