Listennotes is one of my favourite single-person companies. Congratulations on a wonderful product! I've been really impressed that you were able to build such a good and stable product; I suppose some of that comes from using "boring technology" (https://www.listennotes.com/blog/the-boring-technology-behin...)
What made you add the playlist feature? It seems more b2c than some of your other features. Is it gaining traction? Do you think at some point you would make your own podcast app?
podcast:thedaily q:coronavirus testing
I've noticed that I feel better about giving feedback to uncompensated developers using "this is great and" instead of "this is great but."
It could make or break someone's day.
As of now (mostly for cost reasons) I have ingested a limited set of podcasts.
Please let me know what you think!
Note: It is not yet mobile optimized!
Not sure if I've been unlucky but the terms I searched and found (eg "economic") did not come up in the audio for quite some time after I played the sample. Is it meant to start the audio near the search term occurrence? (which seems like the natural thing you'd expect)
I'll be experimenting with word-level timestamps. Right now I am just getting the timestamp of larger chunks (1-3 sentences).
Thanks for the feedback!
when I was looking at the cost to transcribe it just didn't make sense to do it for myself.
hope this works out well!
Having people transcribe 5 minutes of audio/month in lieu of a subscription cost equal to 3 minutes of professional transcription was one model I had in mind.
I'm also hoping this works out well.
I wanted to pipe in audio of various Youtube tech conference videos then apply some basic taxonomy/tagging and provide full text search so you can find a conference talk which contains some specific technology/subject you want to view.
I ran in to difficulty in technology / software conferences uses very specific acronyms and words that are not very general. Also being international there's many accents and levels of English. This means the AWS/Google API's struggled to translate videos which was also made difficult by using compressed audio streams you get from Youtube vs wavs.
Facets would be a nice to have - such as:
Series, Category, Guest, Date
Speaker diarization and be able to search by individual speakers! If multiple channel feeds were available for the podcasts this would be easier to do... Maybe a search engine for podcasts where you partner with the content creators and give them incentives to tag/provide better feeds?
In the case I searched for coronavirus the first hit of some sort of mountain bike podcast ranked higher than a number of podcasts that had coronavirus in the title.
Infrastructure components include CosmosDB, Azure Blob Storage. The service is deployed as an App Service.
The STT and Search tech I'll keep under-wraps for now as they may change.
Presumably the OP is using an offline speech processing tool, but compute costs would still be expensive.