hotword detection for a new language
nfaraji2002 opened this issue · comments
Hi
Is it possible that I train this model for a language with a different alphabet than English, such as Persian?
Thanks,
Yes, you can do that. Please go through the training file.
Thanks.
I executed training.ipynb, but I faced with an error:
No file or directory found at /content/drive/MyDrive/Siamese/modelCheckpoints_old/model-8-01-0.96.h5
I think I need some pre-trained models, but I could not find it in your github. Is it possible that you upload them in the github space to be accessed by everyone?
My another question is that:
I found that there are lots of English single-word audio files in the directory: "dataset_format_fixed". Do I require a new single-word audio dataset to train for a new language? or Can I use the model trained by your English dataset to customize on my hot words that are with completely different alphabets and letters such as in Arabic:
آ ب ث د ر ز م س ش ح ض
Thanks in advance
For your first question: Training again with Arabic words will give a better performance instead of going with the pre-trained model of English since the window frame of audio will be different(guessing this since Arabic words are longer than 1 sec).
Do I require a new single-word audio dataset to train for a new language? Yes if you want to get high accuracy. Our model gives the best accuracy on words that have less than 1.5 sec.
Like. @aman-17 pointed out it can be better to train the model from scratch as there is very little to no similarities in the pronunciations between arabian language and english
Secondly a more polished version of the code with pytorch and resnet is currently under the works. Will share the same soon , so stay stuned!
The new model is out, can you test it with arabic languages and let us know? The newer model has only been trained for english words , but its perfomance is way better than the old one
Soon we will share the training code of the newer model as well