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bshall
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hubert
HuBERT content encoders for: A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion
https://bshall.github.io/soft-vc/
MIT License
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Pretraining Hubert on Music
#17
Bloos
closed
1 month ago
1
Finetuning Hubert Discrete and Soft
#16
slimsushi
opened
5 months ago
0
"integer division or modulo by zero" error in 158 line train.py
#15
Lukysoon
closed
6 months ago
1
Codes returned by collate function in dataset.py have incorrect shape
#14
arjunbahuguna
closed
6 months ago
1
Can you provide the training script to build the HuBERT-Discrete Content Encoder? Thanks!
#13
kelvinqin
opened
8 months ago
1
where are the discrete units weights from?
#12
thivux
opened
9 months ago
1
Confusion about pads and alignment
#11
splinter21
closed
7 months ago
0
Creating length.json
#10
danmathewsrobin
opened
11 months ago
2
Training accuracy
#9
EmreOzkose
opened
1 year ago
0
why 16kHz ? why not 22kHz ?
#8
salisbury-espinosa
opened
1 year ago
1
your released model
#7
wyp19930313
opened
1 year ago
0
how to train hubert-soft content encoder using Mandarin Chinese dataset?
#6
joan126
opened
1 year ago
1
About lengths.json
#5
EricStuart
closed
1 year ago
2
I want to know how to get discrete speech units？
#4
yaoao2017
opened
1 year ago
0
RuntimeError: stack expects each tensor to be equal size
#3
rkjoan
opened
1 year ago
3
Error trying to fine tuning the model
#2
mathigatti
closed
1 year ago
1
Distributed package doesn't have NCCL built in
#1
betterftr
closed
2 years ago
1