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Issues list

Consider a cloud CI service
#41 opened May 12, 2021 by acampbel
I used my own dataset to train the model but got error in Dimension
#40 opened Mar 7, 2021 by fatimah-ai-lab
A more modern VAD with pre-trained models
#39 opened Jan 21, 2021 by snakers4
Hi I want to know why you multiply "TrueLabel_bin[iidx:iidx + wsize - 1]" by 10 in func Truelabel2Trueframe
#36 opened Jul 1, 2020 by Zyazz
how to test the single wav audio in pretrained model
#34 opened Oct 5, 2019 by vigneshgig
MRCG RAM consumption
#33 opened Sep 25, 2019 by ravidha
lossing some data
#32 opened Sep 17, 2019 by weizhenzhao
Meaning of different functions
#31 opened Aug 28, 2019 by wishvivek
Can anyone share the noisy data?
#30 opened Aug 26, 2019 by wuqiangch
1
Training the net with smaller batch sizes
#29 opened Aug 14, 2019 by lucashcarneiro
The deference of VAD_LSTM and VAD_LSTM2
#28 opened Aug 7, 2019 by Chenny0808
Could you please supply the trained model ?
#27 opened Aug 2, 2019 by ucasiggcas
1
Process many audio files with the VAD model
#26 opened Jul 17, 2019 by lindagaw
Questions about the data normalization
#25 opened May 7, 2019 by cqjjjzr
2
Anyone has VAD annotated Mandarin dataset?
#24 opened Apr 28, 2019 by xdcesc
Questions understanding bdnn_transform function.
#23 opened Apr 13, 2019 by cqjjjzr
1
After how many iterations did your proposed VAD model converge ?
#22 opened Apr 10, 2019 by eskandarhassan
4
question about DNN learning curve
#20 opened Mar 23, 2019 by machinelearningisgood
8
Error while running main.py file
#18 opened Jan 22, 2019 by rajeevbaalwan
7
ACAM always detect badly on the start of a corpus
#16 opened Dec 5, 2018 by lyapple2008
2
Exception while executing vad_test.py.
#15 opened Oct 10, 2018 by krishnamohan191
2
data and model question
#13 opened Jul 12, 2018 by meixitu
11
Training Datamake
#12 opened Jul 11, 2018 by shezanmirzan
3
How to create the dataset
#11 opened May 21, 2018 by pankaj2701
2
Readme file for train.py
#10 opened Apr 27, 2018 by shimoli15
1
ProTip! Adding no:label will show everything without a label.