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Provides a new version of [Mygf-f040k] training with a mature voice Pt (beta version)

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Updated: 26/09/30Published: 26/09/30
Provides a new version of [Mygf-f040k] training with a mature voice Pt (beta version)

Inference Comparison

After Inference

0:000:00

Model Introduction

This week, we completed training and testing the pre-trained model, increasing the number of speakers from 109 to 426, integrating Chinese, Japanese, and English corpora, and using whisper data for the first time.

This model is trained on the Mygf-f040k pre-trained model, using a small portion of whispers as the dataset.

We will now provide this part of the PT model for free to share with you.

Wishing you a pleasant holiday.

Dataset: 7 min.

Training Log

g/total

tag: loss/g/total
klrvc.com172227323702k4k6k8k10k

Training Log Analysis

Training Name
mygf-mlv4
Sampling Rate
40k
Training Status
Finished
Training Epochs
300 / 300
Training Steps
9.4k
Save Interval
Every 30 epoch
Saved Epochs
30, 60, 90, 120, 150, 180, 210, 240, 270, 300
Recommended Best Checkpoint
epoch 207 / step 6.6k / loss/g/total 8.67
The green marker indicates the lowest loss/g/total point in this log and can be used as the recommended best checkpoint.
Miaoyin model

Miaoyin model

inventory_20person_add0

Version Details

OriginalYes
AlgorithmRmvpe
CapabilitySupport
LanguageChina/US/Japan
Sample Rate44K
Base ModelMygf-f040k
HubertEnglish Hubert

Recommended Parameters

Threshold-60
Pitch0
Index Rate0.00
Volume Factor0.86
Sample Length0.30
Harvest Processes1
Fade Length0.12
Extra Inference Time2.92
infoFor reference only, adjust according to your input!

Related Models

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Keywords

#mygf-f040#rvc#Mature Woman Voice#Model#Pre-training

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