zlacker

>>illumi+(OP)
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. <operator>: Call was from a neighbor in the area.

>>VWWHFS+9g
I don't have familiarity with speech-to-text but wouldn't it be possible to weight words based on their probability in this application to help resolve this. For example, suspect is probably a low frequency word in normal speech but very high in radio chatter.

>>MengYu+ki
apple dictation does this, it will change already transcribed text mid sentence if it thinks something else fits better

https://news.ycombinator.com/item?id=23322321

at 33 second mark https://twitter.com/jamescham/status/1265512829806927873

>>rasz+br
That's slightly different to what OP was talking about, if I'm understanding correctly. You're talking about reassessing the probability of previous words based on future words. They're talking about weighting the prior probability of each word based on the context i.e. police conversation as opposed to normal phone conversation.