AI4D Baamtu Datamation - Automatic Speech Recognition in WOLOF
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Helping Senegal
$2 000 USD
Challenge completed over 4 years ago
Classification
Automatic Speech Recognition
Natural Language Processing
365 joined
47 active
Start
Feb 12, 21
Close
May 23, 21
Reveal
May 23, 21
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What are you guys doing to improve your score?
Data · 26 Apr 2021, 04:22 · 6
I am using wav2vec pretrained on 3/4 of the training data set. Did anyone added noise or removed silence or removed noise?
hello @kingabzpro, 😂😅 obviously almost nobody will answer your question(s) since they don't want to share their approaches until the competition ends.
adding noise and other stuff like that are what people experiment to come up with good scores so tbh you should try and see because even after competition ends, only some people will share their ideas.
Good luck !
I am from Kaggle, I think over there everyone shares ideas and helps each other. I have one more suggestion, there is much noise-filled audio in the training set, if you remove them from both training CSV and audio file we can improve the model.
you know what I want to give you another thing. Training on more than 4400 samples decreases the performance. If anyone can improve their score, I will be happy.
Yeah buddy you're really right! sharing and community habits are things we are working to improve here. but we are far from it today oh.
As noted, there is a conflict of interest in such competitions between winning and sharing your ideas with the community (which is debatable).
From our side, we will publish the code after the end of the competition such that others can learn from it and provide feedback
Hi @Roman18, thanks for your feedback. we are happy to hear from you. By the say, we are currently working in the backstages to make zindi a better place for collaboration and for ideas sharing.
wish U all the best.