Have Iconize results changed for others at some point? I haven't used them for a long while, but now if I Iconize something and try to perform operations on it, the iconization is not opened correctly...
This seems to happen across multiple Mma versions...
Eh, now it works again. Something really funky is going on, or I have forgotten exact semantics of this stuff.
Bit surprised at the performance of SpeechRecognize. I have some basically ideal audio and I get practically garbage results. Sadly there's no obvious way to "seed" the output given a script or expected words or phrases or something to get more usable output
@kirkus Yeah, if you like! They're irish-accented, which is probably what the problem is. I can share them with you later on if you're interested. I built a video-to-subtitles thing to make it quicker to edit videos:
@CarlLange I really wonder how sensitive those things are to accent. As far as I can tell, Google assistant, for instance, is pretty bad understanding English accents of my social circle despite they're quite understandable in my opinion (and not the dreaded "rally English"...)
(Normally you need to listen to the audio to remember what it's saying, and it makes the editing process quite slow, so subtitles that even just give the gist really speed things up)
Not a great screenshot, but hopefully you get the idea :)
I did very little pre-processing and so on (just normalising and amplifying) before running SpeechRecognize so I'd be all ears for some ideas that might get slightly better results. But at the end of the day I'd like to be able to inform the function about phrases like "Kerry Way" so it doesn't give me "carryme" or similar
Not really, I also tried the DeepSpeech NN from the NN repo, but I'm pretty sure SpeechRecognize is just using that under the hood anyways. I didn't get better results with it. Mostly I was just procrastinating from actually editing the video
@kirkus Yeah, I found that SpeechRecognize was quite sensitive to volume, which is why I added the gain and so on. But I would have expected better performance than what I got.
@kirkus Ah, that sounds like one of those self-driving car ideas that sounds just plausible enough to get funding for... But I'm sure it was an interesting experience. I had thought that NNs were pretty new to STT and had hoped to see a bit of a leap in accuracy (and maybe it would if I actually did some real work with the DeepSpeech network's decoder).