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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
As someone who has personally edited over a hundred 1-2 hour podcasts with a new guest every time removing umms, ahhs, dead air and filler words is soul crushing. It has gotten to the point where after 2 years of running my podcast[0] I'm seriously considering stopping the show because I'm getting burnt out from editing and without sponsors it's not feasible to hire an editor, but even with the show making no money I would happily pay triple your asking price if I could click a button and have the problem solved in a way that matched a human's ability to edit out filler words.
It really is the difference between being able to edit a 1 hour episode in 1 real life hour (editing at 2x speed) vs literally spending 5 hours to edit 1 hour when there's a lot of filler words or ums.
In my opinion your "after" version doesn't sound natural. This isn't an attack on your service specifically, because the outcome is the same with all of the tools I've tried. I haven't tried them all but I did play with a few of them.
For example in your case the pause between "Removing" and "filler" doesn't match the pace of the rest of the sentence and the transition from "very" to "time" has a very hard cut. This is also a 10 word clip that's about 6 seconds. If you listened to a 1 hour podcast episode that was edited things like this would be much more noticeable.
There's so many intricate and subtle details around when and what to cut to remove these things in a way where it's not noticeable. Are there any paths moving forward in AI / ML that can lead to this being indistinguishable from being humanly edited?
I debated deleting this comment before posting it because it's a combination of feedback but also saying the service isn't something I would buy but I think it's more beneficial to post this to show there is a real demand for this service if it can be executed flawlessly.
[0]: https://runninginproduction.com/