blackkettle

8 ms·

31.
by blackkettle 3y ago
I can see some fantastic uses for this in generating complex acoustic environments to layer over TTS or real recordings for speech-to-text model training. I wonder if that is occupying some kind of gray-area. For example you have 1000hrs
32.
by blackkettle 3y ago
I’m not disputing the reality; it would be a bit ridiculous and I assume incredibly dangerous especially given the rate at which the whole thing is moving. I’m just arguing that the article is worded in a way that is encourages such a misu
33.
by blackkettle 3y ago
The article definitely makes it sound like they had “boots on the ground”. There’s a picture of muddy boots and the caption says they are covered in ancient mud.
34.
by blackkettle 3y ago
This is pretty much exactly how the public education system is structured here in Switzerland. Early years focus primarily on socialization, multilingualism, literacy and basic numeracy. Then as you move through later elementary school to
35.
by blackkettle 3y ago
Comparison by competitor but it’s believable IMO. Basically about the same performance as whisper: - https://deepgram.com/learn/nova-speech-to-text-whisper-api Not surprising though as at this level all these options
36.
by blackkettle 3y ago
Have you seen the recent work at TinyStories: - https://arxiv.org/abs/2305.07759 It got some nice attention here: - https://github.com/karpathy/llama2.c I think there may be some applications
37.
by blackkettle 3y ago
I’ve started doing this with ASR hypotheses from colloquial spontaneous speech. It tends to have similar issues. Lots of shady human ground truth especially where addresses, alphanumeric sequences, repairs and repetitions and other essent
38.
by blackkettle 3y ago
Eat less, move more, make sure you sleep.
39.
by blackkettle 3y ago
I also found it odd looking through the whole piece waiting for an example only to reach the end with no idea what these daydreams actually are?
40.
by blackkettle 3y ago
Article mentions tubi. This is also available and included in prime - agree it’s an amazing piece.
41.
by blackkettle 3y ago
It probably means they have tried it for _some_ purpose, but not necessarily the one described in OP's post here. The claim is that this is specifically useful for quantization. It's seems reasonable to assume that this would hav
42.
by blackkettle 3y ago
Most STT systems also tend to still train on normalized text which is free of the punctuation and capitalization complexities and other content you find in text LLMs. I suspect we continue in this way in part due to lack of large scale res
43.
by blackkettle 8y ago
Just a random guess, but I would hazard that it's not the heat. Going in a properly hot sauna and 'soaking' for 15min or more gets you really sweating, and increases your heart rate. Basically it 'gets your blood pumpin
44.
by blackkettle 9y ago
I'm curious as to why you think a linter tool for sanitizing the text is less effective than the other measures you describe. As long as the target problem is zero-width characters, this seems like it should be more effective than all
45.
by blackkettle 9y ago
Moreover, the whole 'smart bathroom' thing has already been pretty much solved in Japan - and more or less keeping in mind the principle that you describe. You can get your temperature, get a warm seat, turn on some ambient music
46.
by blackkettle 9y ago
According to wikipedia the road from R&D conception to commercial deployment with Singapore Airlines for the A380 spanned almost 20 years, from 1988 to 2007. How many software projects have that sort of scope?
47.
by blackkettle 9y ago
They've set themselves up perfectly for their next product/service: ResumeDetected: detect resume plagiarism; our solution goes beyond verbatim phrase matching and identifies risky and dishonest behavior using our state-of-the-art
48.
by blackkettle 9y ago
I love how they describe it as a 'scam', but this is exactly what corporations do all the time. He received a salary, and in return completed his work in a timely, efficient and apparently excellent fashion.
49.
by blackkettle 9y ago
The 'an' rule for 'historic' is related to historical pronunciation trends. Particularly in Britain, but even in the US if you go back a bit further, it used to be common in certain dialects to not pronounce the 'h
50.
by blackkettle 9y ago
I think it has more to do with the fact that they are finally starting to allow their researchers to publish. They were platinum sponsors at INTERSPEECH 2017 this week, and actually published a paper there. I'm pretty sure that was t
51.
by blackkettle 9y ago
There area a number of comments in this thread similar to yours on the topic of university as an 'experience'. I started my undergrad degree in 1999, and I think that was very much the case at that time as well. It was the same
52.
by blackkettle 9y ago
> On the other hand, if you’re working in an agency/consultancy where it’s important for security/reliability/maintainability reasons to keep up to date with various areas of front end tooling, database types, AI, serverle
53.
by blackkettle 9y ago
My go to resource for this issue is: * http://www.regular-expressions.info/tools.html nooks and crannies of pretty much every major flavor and variant, prepared as an easy reference.
54.
by blackkettle 9y ago
Exactly, and the simple, physically decentralized, distributed, and somewhat resource/time intensive aspects of paper-based balloting are all great checks against easy attacks. The fact that virtually anyone both capable and eligible t
55.
by blackkettle 9y ago
No. To protect voting, don't use software. Everyone needs to be able to _understand_ as well as be able to verify that they successfully voted. Besides the issues with what software the machine is actually running, most people cannot
56.
by blackkettle 9y ago
I would assume they are only going to be doing the raw data collection and maybe cleanup and annotation, and that data should be made available so you can train what you like. If you poke around github and the Kaldi lists a bit more you can
57.
by blackkettle 9y ago
there are no tick marks on the x axis.
58.
by blackkettle 9y ago
and this may be even more problematic that it appears. the ones from category one might have difficulty knowing what to do - unless we're talking about the lyft CEO they know success from something other than uber. that might not neces
59.
by blackkettle 9y ago
If you don't understand something and/or cannot explain or describe it, should you believe it? I think this is a very difficult question.
60.
by blackkettle 9y ago
Wait, what? Is that what we were expecting - or even hoping for?

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