search

Zifeng Radio Tone RVC Model (48k Self-Training, Commercial Available)

visibility 31chat_bubble_outline 0favorite 13
Updated: 26/11/04Published: 26/11/04
image

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

Training Log Analysis

Training Name
-
Sampling Rate
-
Training Status
Incomplete / Unknown
Training Epochs
-
Training Steps
0
Save Interval
-
Saved Epochs
-
Recommended Best Checkpoint
-
000

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