its great EI offers Transfer Learning (as learning block) - even for voice and keyword-spotting.
The block unfortunately has a fixed window size 1000ms and MFE Audio block - that is not aligned with my scenario.
In a previous post you proposed to ingest the pre-trained model as encoded string what worked great for my previous project.
Now I am using Syntiant NDP101 with Dense-Layers and hence with a lot of weights - and I am getting the error message on training: “request entity too large” - as the string is really long.
What I did in detail:
- Project: https://studio.edgeimpulse.com/studio/64744 - for general training with firefox command set- getting 70% accuracy on model testing, downloaded the model
- Project:https://studio.edgeimpulse.com/studio/72754 - uploaded my personal voice data - to run a 2nd round of training (using trainable=True) <- here I want to ingest my model from “above”
I tried zlib compression (not enough compression) and reading s3 bucket (no access) to ingest.
Is there any other way to get this possible? Maybe I am on the wrong track here?
Thx a lot!!!