MUSTAR/

Rigel-rvc-base-pretrained-model

Rigel Pretrained Model

Dataset

• Size: Total 1921 hours of speech and vocals.
• Languages:
  • Arabic: ~70 hours
  • Chinese (Mandarin): ~70 hours
  • English: ~800 hours
  • French: ~42 hours
  • German: ~35 hours
  • Hindi: ~30 hours
  • Indonesian: ~53 hours
  • Japanese: ~140 hours
  • Korean: ~80 hours
  • Portuguese: ~40 hours
  • Russian: ~188 hours
  • Singing (all languages): ~190 hours
  • Spanish: ~200 hours
  • Tagalog: ~30 hours
  • Common language: Unknown amount

Sampling Frequency

• 32kHz (Done)
• 40kHz (Retraining)

Models

Base Model

• Data: Total 1921 hours of low-mid quality data.
• Steps: 3,890,220
• Batch: 40
• Precision: FP32
• Sampling Rate: 32k

Fine-Tuned Model

• Data: 102 hours of high-quality data.
• Steps: 2,854,856
• Batch: 20
• Precision: FP32
• Sampling Rate: 32k

Hardware Used

• CPU: AMD EPYC 9754
• RAM: 256GB
• GPUs:
  • 1 x H100
  • 4 x L40s
  • 1 x RTX 4080
  • 1 x RTX 4070 Ti

Expected Release Date

• July 22nd