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30 Open 44 Closed
30 Open 44 Closed
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Issues list

Running train_ speech_ embedder.py reports an error during training
#79 opened Nov 15, 2022 by ZZZzhoup
I have trained all data , but how to use it ?
#78 opened Apr 12, 2022 by TonyB22
how can I reproduce the result: EER across 10 epochs: 0.0377 ?
#76 opened Jun 7, 2021 by JiaqingFu
Single inference
#75 opened Mar 31, 2021 by fabianoluzbr
Shuffling wav files in dataloader does not ensure that all the training files are checked in each epoch
#73 opened Nov 16, 2020 by dkatsiros
2
Changing the sampling frequency
#71 opened Aug 20, 2020 by neerajkuhike
new speaker
#69 opened Mar 1, 2020 by ooobsidian
1
about config
#68 opened Dec 30, 2019 by zyc1310517843
1
How to train d-vector model for using on diarization with my own data?
#67 opened Dec 20, 2019 by mesut92
2
What is the duration of audio of each D vector embedding that is created?
#66 opened Dec 13, 2019 by abhilashnayak
Change the code to use multi-gpu, but can not speed up the training.
#65 opened Dec 4, 2019 by Naminwang
2
Determining time indexes for embeddings?
#64 opened Oct 16, 2019 by chrisspen
2
Unable to run dvector_create.py, file does not start with RIFF id
#63 opened Oct 16, 2019 by chrisspen
1
Unable to test
#62 opened Oct 16, 2019 by chrisspen
Very slow training on CPU
#61 opened Oct 14, 2019 by chrisspen
2
How to handle multiple speakers?
#60 opened Oct 14, 2019 by chrisspen
Align embeddings
#59 opened Sep 29, 2019 by pravn
Things to check when testing with different DB
#55 opened Sep 16, 2019 by hash2430
3
Possible bug report and suggestion on how to fix it.
#54 opened Sep 16, 2019 by hash2430
Speaker Verification Predict
#52 opened Aug 27, 2019 by Kailegh
GE2E loss can work with cnn
#51 opened Jul 20, 2019 by wrongbattery
Calculating EER
#49 opened Jul 18, 2019 by nidhal1231
4
train_speech_embedder.py:batch_id
#44 opened Jul 3, 2019 by yahcong
2
Bitrate/Sample Rate Differences
#39 opened Jun 11, 2019 by bitnom
1
How to use dvector_create.py
#34 opened May 13, 2019 by zeyuanchen23
7
ProTip! Follow long discussions with comments:>50.