Zifeng Radio Tone RVC Model (48k Self-Training, Commercial Available)
visibility 31chat_bubble_outline 0favorite 13
Updated: 26/11/04Published: 26/11/04
Inference Comparison
After Inference
0:000:00
Model Introduction
Zifeng Radio broadcast timbre, based on Applio's self-trained RVC v2 model, with a sampling rate of 48k.
The dataset consisted of 145 clean dry sounds (approximately 15 minutes 44 seconds in total, monolophras), which were processed by contentvec feature extraction + rmvpe pitch extraction, and trained with 200 epochs / 21,000 steps using Applio HiFi-GAN pretrained base molds (f0G48k/f0D48k).
Features: Restores the relaxed feel and articulation of radio broadcasting, suitable for reading, broadcasting, narration, and oral content.
Usage recommendation: Inference sampling rate should be 48000.
Training Log
Version Details
OriginalYes
AlgorithmRmvpe
CapabilitySupport
LanguageMandarin
Sample Rate48K
Base ModelMygf-f048k
HubertChinese Hubert
Recommended Parameters
Threshold-60
Pitch0
Index Rate0.3
Volume Factor0.9
Sample Length0.30
Harvest Processes1
Fade Length0.12
Extra Inference Time2.92
infoFor reference only, adjust according to your input!
Related Models
No related models
Keywords
##rvc #48k #电台 #播音 #子峰 #配音 #可商用 #中文
Comments
No comments yet
