Comments (4)
Short answer - yes.
Two models have been used here.
vggish - as feature extractor.
youtube8m - as classifier.
So if you want to use different labels you need to extract features using vggish and then train youtube 8m model with these features.
from devicehive-audio-analysis.
Hi,
Yes, you can use your own dataset.
You need to extract features from raw data.
To do this take a look to vggish lib here.
Also you can find how i did this on the fly.
Hope it will help.
from devicehive-audio-analysis.
Thanks!
But isn't necessary to train a model with youtube 8M?
from devicehive-audio-analysis.
Hi,
I still have some questions about creating own data set.
The training script provided by youtube8m is using .tfrecord extension. Do you know how to generate this format for audio?
Also, how do I add my custom labels using the youtube8m training model? Many thanks.
from devicehive-audio-analysis.
Related Issues (15)
- TF record files for training custom new model
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from devicehive-audio-analysis.