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It has a large update.
I think you changed the position of the delimiter?
It is no problem, but please make sure that you do not include any errors.
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Yes, I added a line and the delimiter was automatically updated. There is no error, but I think I can revert the unnecessary changes.
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| | Model (conf name) | EER(%) | minDCF | Note | Huggingface | | ||
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| | [conf/train_ECAPA_mel.yaml](conf/train_ECAPA_mel.yaml) | 8.372 | 0.4552 | | https://huggingface.co/espnet/cnceleb_ecapa_mel | |
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No, actually this is the baseline result for the CN-Celeb dataset using the ECAPA-TDNN configuration in the ESPnet SPK recipe. If necessary, I can tune the configurations and update the models with better performance later.
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How much does it differ?
Yes, can you tune a model a little bit?
It would be a good practice.
for more information, see https://pre-commit.ci
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## master #6126 +/- ##
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- Coverage 44.74% 14.47% -30.27%
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Files 621 879 +258
Lines 55994 82527 +26533
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- Hits 25054 11948 -13106
- Misses 30940 70579 +39639
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LGTM. |
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Thanks @holvan! |
What?
Create cnceleb/spk1 recipe based on espnet2 for speaker identification on CN-Celeb dataset.
Why?
ESPnet bootcamp project.