Podcast Transcription with Amazon Transcribe
ipfs.io
ipfs.io
I do not know how much Elaine (who makes those transcriptions) costs, but of course it's going to be more than Amazon Transcribe's cost. What I wonder is, what would be the cost to take the output of Amazon Transcribe, and fix/format it into something like what I linked?
Regardless, one thing that (I think) is important, is that having at least the output of Amazon Transcribe (or something similar) will make it easier for people to find something that was said in your podcast. At least, until Google/etc. start transcribing audio they find, and indexing that…
It’s especially useful for long talks, etc.
Only problem is he didn’t go over really the quality of the transcription. Transcription by robot is still AWFUL a human can generally do wayyy better.
it’s hilarious how bad it is in this age of AI we supposedly live in.
For me, this isn't close enough to be considered a "valid" transcription. Too much information is lost. Too much context is lost.
Truly looking forward to a day when ML / AI can do this with high degrees of accuracy, but we're not there yet.
I've tried the IBM and Google transcription APIs on a podcast with overlapping speakers, and they turned out dadaist poetry. I've been meaning to check out other solutions.
* Google: http://mefiwiki.com/wiki/Podcast_107_Transcript_(automated)
* IBM Watson: http://mefiwiki.com/wiki/Podcast_117_Transcript_(automated)
I'd love to see more details on what you do. I haven't found a good automated solution yet. It seems like the solutions with acceptable quality involve Mechanical Turk.
Edit: I added a Bing attempt, and I'll link the list, rather than individual eps: http://mefiwiki.com/wiki/Podcast#automated_transcripts
https://scribie.com/transcript/c5ae0522950c421c9d939dc8a17f4...
So far, IBM watson work best for english, google in other . language. For example the transcript of trump inauguration speech (16minutes 38seconds, 8371 character) give me a levenshtein distance to the official one of (smaller is better) :
- IBM : 898 (566130ms)
- Google : 1249 (301635ms)
- Microsoft : 5233 (109391ms)