Kaizhi Qian
Kaizhi Qian
No I didn't, but feel free to experiment with it.
This is normal. Because you computed mfcc in different ways.
Do you mean SEA? You refer to the SEA paper for training details.
The performance might degrade, but feel free to try.
The majority of the code for SEA is here. You just need a data loader and an optimizer.
It is the one-hot speaker embedding.
Self-Expressing Autoencoders for Unsupervised Spoken Term Discovery
Most likely, but it will probably take a long time. All these works are the intellectual properties of companies. As we know, most companies are typically very strict about releasing...
Thanks! Nevertheless, these works can all be reproduced based on this repository.