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Very cool! Is this yours, OP? I built a text classifier platform ( https://www.taggit.io/ ) and I'd love to explore building something on top of this text stream to notify people of important happenings around the protests in real time.
Not mine, I've got the URL over IM few minutes before posting it here
For instance:
> at the beach view new screen for assistance there is a needle in his hand he's foaming from his mouth throwing off this item
What the officer actually said on the radio:
> He was going to Rainier Beach area. A request for assistance to approach two people with needles. : Call was from a neighbor in the area.
Earlier quoted context omitted.
Conventional speech recognition will not have very good accuracy for this sort of task out of the box. You will basically need to do local (as in, based on map location) language modeling, and should probably do custom acoustic modeling as well (training a neural network on what radio speech sounds like).
Did you look at the transcripts? They do not have very good accuracy. A better solution probably should do those things; this one I'm assuming is not.
> Please don't comment on whether someone read an article. "Did you even read the article? It mentions that" can be shortened to "The article mentions that."
Yes, I looked the website, and I also have my own website that does the same thing in a very similar manner. My comment was entirely in response to the suggestion Mac speech recognition be used for this. It should not be used for this. Based on previous experiments I have personally performed, it would be even worse than the website's accuracy. I then pointed out what a good solution might look like (and neither my website nor the linked website do the good solution yet)
Earlier quoted context omitted.
I prototyped this concept too, at https://feeds.talonvoice.com with prohibitively expensive Google speech recognition, but also have a feature for users to listen and fix transcriptions. If murph was anything like me they probably paid for broadcastify and tailed a couple of the static mp3 feeds. My plan was to collect user transcription corrections on my site then train my own inexpensive models on them. The open-so…
Not to be 'that guy' but I vastly prefer your implementation. Having both the audio and transcription is almost mandatory to something like this (unless I'm an idiot and missing the ability to play the call on this). I wonder if one could mix in openstreetmap data for a location to help pick up local references. (Eventually would be cool to round trip it with a little ping when addresses/businesses are referenced).
The speech-to-text transcription is so incredibly wrong that it's almost dangerous to publish it like this. For instance: > at the beach view new screen for assistance there is a needle in his hand he's foaming from his mouth throwing off this item What the officer actually said on the radio: > He was going to Rainier Beach area. A request for assistance to approach two people with needles. : Call was from a neighbor…
The speech-to-text transcription is so incredibly wrong that it's almost dangerous to publish it like this. For instance: > at the beach view new screen for assistance there is a needle in his hand he's foaming from his mouth throwing off this item What the officer actually said on the radio: > He was going to Rainier Beach area. A request for assistance to approach two people with needles. : Call was from a neighbor…
The speech-to-text transcription is so incredibly wrong that it's almost dangerous to publish it like this. For instance: > at the beach view new screen for assistance there is a needle in his hand he's foaming from his mouth throwing off this item What the officer actually said on the radio: > He was going to Rainier Beach area. A request for assistance to approach two people with needles. : Call was from a neighbor…