Digitize your shopping lists

by Mike

I’ve tried to use the voice recognition technology in Windows before and it was a matter of minutes before I realized how inaccurate (very, very inaccurate) it was. Maybe it’s going to be vastly improved in Vista and Leopard, but I’m not holding my breath. Why am I saying this? Because this next gadget, the SmartShopper, tries to use voice recognition to digitize your shopping lists.

Seriously, that’s what it does, I wasn’t joking. The idea is that you randomly think of items you need to purchase throughout the day, and rather than using your MicroMemo to make a note of it, or worse, forgetting it, you can press a button on the SmartShopper to record the item you need. You’ll do that whenever you want to add something, and when you’re finally ready go to the store, you press the print button on the SmartShopper. A nice list will print out with all your items on it; their Nuance voice recognition technology will have gone through the items and put them in text form. That’s good and all, but there’s one key thing. Will this even work correctly half the time? Unfortunately, the answer is probably no. You’ll probably realize your list is half wrong when you’re already at the store and can’t remember that one item you know you need.

The SmartShopper seems like a product that’s just not ready for primetime yet. Maybe when voice recognition technology becomes 99% accurate this will be a great device, but not now. If you do want one, you’ll need to put down $150 for the privilege.

Product Page – [via SCI FI Tech]

4 reviews or comments

Pascal Lutz Says: January 30, 2007 at 5:52 am

Have you even tried it?

Mike Says: January 30, 2007 at 2:15 pm

No, never. But as I said, with today’s speech recognition technology how it is, I doubt this machine is very accurate. If there really was some awesome break through, there would’ve been a lot more news about it.

Marc Says: January 30, 2007 at 4:02 pm

General purpose speech recognition has a long way to go, but things with a small vocabulary or a very specific context can be quite effective. The question is, does it work well enough most of the time to put up with the odd mistake?

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