Wow! I'm working on something exactly like this as a personal project!
I have a few questions about how you're doing time segmentation.
Are you using a purely text based approach? as in your pipeline looks like
STT -> some BERT based model for segmentation/summary?
or are you using a text + audio model to get extra signal?
Have you found any cool tricks (pre-processing/heuristics) that really improved your approach?
How are you dealing with ad placement insertion that can have different times for different users? For example user A might have a 30 second ad inserted and user B might have two ads inserted for a total of 60 seconds. That would shift all your times at a user specific level. Or are you serving the podcasts from your own server?
My project goal is slightly different than yours in that my goal is almost entirely automatically skipping ads until I am able to just pay a subscription fee to the podcasters to support their content.
Awesome app! Super exciting to see folks working on this
Solved this puzzle last time and LinkedIn basically told me "we won't actually interview you unless you have 2-4 years of industry experience" new grads be warned.
I have a few questions about how you're doing time segmentation.
Are you using a purely text based approach? as in your pipeline looks like STT -> some BERT based model for segmentation/summary?
or are you using a text + audio model to get extra signal?
Have you found any cool tricks (pre-processing/heuristics) that really improved your approach?
How are you dealing with ad placement insertion that can have different times for different users? For example user A might have a 30 second ad inserted and user B might have two ads inserted for a total of 60 seconds. That would shift all your times at a user specific level. Or are you serving the podcasts from your own server?
My project goal is slightly different than yours in that my goal is almost entirely automatically skipping ads until I am able to just pay a subscription fee to the podcasters to support their content.
Awesome app! Super exciting to see folks working on this