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Comment by deepnotderp | Hacker News Reader

Tl;dr: they stapled a 6-layer bi LSTM to Wavenet. Good to see IBM admit that deep learning is better than "Watson".

Also, with wavenet in the mix, no way this is used in production.

Watson is a made up marketing concept for IBM's collection of fragmentary services, almost all of which run on deep learning of some sort.

Also, these are cost prohibitive to use in apps widely or without limitations. Currently, Google Speech to Text is relatively cheaper at $1 for 166 messages. Source: https://cloud.google.com/speech/pricing

Interesting. I worked for a company that did retail speech recognition in the late 90s, I should look up how much that cost in comparison to see how the economics are shaking out.

We'd be interested in that cost comparison!

Found something:

* $29.95 to register

* $9.95 per month subscription which entitles you to $14.00 worth of free transcription per month

* $3.50 per page (double-spaced, 225 words) for any pages in excess of your $14 allocation

$14 is four 225 word pages, so, 1-900 words for $0.11 per word, then $1.55 per word. Ish.

Ahh interesting. I like the subscription model from the perspective of the business. Seems like it would prohibit signing up for the low-volume user though, right?

Cost prohibitive? IBM seems to be ~16 hours free then 2 cents/minute. Google is 1 hour free then 2.4 cents/minute.

I can't see anything that says how IBMs minutes are done though, whether every message is rounded to 1 minute or not. Edit - based on a comment from someone at IBM in this thread, they're not rounded up to a minute, rather only at the end of the month is the total time rounded. I can't see how they'd be more expensive than google.

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