Viewing profile — stephensonsco

I didn't answer "Do you have a cheap way of generating high quality data?". We have good ways to do it. They're not that cheap though. It's expensive (organizationally and real $$$…

Yep, all good points. One thing to consider is that generalization is a big problem. It's easy to get good on a specific dataset nowadays (like 5-10% word error rate level on acade…

You can pay to get training at a lower usage amount too.

You find out very interesting things even randomly sampling your life in audio. We still come back to this for fun. The original device was an intel edison but recent variants have…

If you're training from scratch around 10k hours is needed to get a good model, but when you are transfer learning you don't need nearly that much (100 hours gets you a lot). We ex…

There's no additional charge for training a custom model when your usage is a minimum of 10k hrs/mo.

Best to say "yes! but only some of the time". It's something we're working on right now. You can be 80% accurate, by some metric, but it's still not good enough usually to pass a h…

We do custom models (train the full DNN, not just tack on a new text language model) using transfer learning and it works for small numbers of examples too. Glad to hear you asking…

It's a metric that's hard to nail down because there is so much parameter space that you are flattening into one number. Also it doesn't address the "I care about these five high v…

This is a seriously fertile area where you get to "define the new interface". It's a big problem though, since few buyers know they want those things. Around 95% of customers come …

Price starts at $1/hr billed in 1 second increments. Frequently we charge less than that, since the price is dropped with volume, and that's typically businesses have a steady amou…

Hey HN, I’m Scott Stephenson, one of the cofounders of Deepgram ( https://www.deepgram.com/ ). Getting information from recorded phone calls and meetings is time-intensive, costly,…

Pretrained models are very nice to spin up a system and start using it. You need that because training the model is so hard. But, the pretrained models are by no means a good gener…

You're doing awesome (arduous) work. The text normalization is especially a total bear. I feel your pain. Limiting your text to one file is good in many ways because it allows you …

Anyone able to find any data on time 'til accuracy? I don't see it (even in the video linked in another comment). Sure it's nice to "achieve 90% scaling efficiency" in images/sec, …

The dark matter is a gas not a solid. It's not orbiting the sun, it's orbiting the galaxy (technically, not even the galaxy, it's orbiting inside it's own halo mostly). The orbits …

Also very true. Unfortunately this data is dirty, context dependent, or plain missing. This is true of pretty much any "real" experiment.

This is awesome. But it is still impractical. The researchers knee deep in this already have to fight for the computing power and data access (and error checking of all of that) fo…

In the direct-search-for-dark-matter-experimental-community the DAMA results have long been excluded and therefore ~discredited (see lots of papers from LUX/XENON/PANDAX/CDMS/etc).…

So you think the LHC should "publish" 100 petabytes of data? What you are stating isn't practical because of cost. But I'll definitely go with the idea that "if you want to make a …

The problem is that a founder who hasn't already filled that role themselves doesn't know two things: 1) what the key parts of doing the job are and 2) which skills/personality the…

build it, you'll have a hit