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Here's something positive: This kind of research might indirectly make people healthier and save a lot of lives. Calorie tracking is a proven way to lose weigh
by nathan_f77 10y ago
Here's something positive: This kind of research might indirectly make people healthier and save a lot of lives.
Calorie tracking is a proven way to lose weight, but all the tracking apps that I tried feel like they take too much effort. So I came up with an idea a few years ago: you should be able to just say what you had eaten out loud, and then use speech-to-text and NLP to search for each item and count up the calories.
I never got around to building that, but these guys did: https://www.nutritionix.com/app https://www.nutritionix.com/app
It works amazingly well. Not only is speech 3x faster than typing, it's also much faster to have a free-form text field that is automatically parsed. And they integrate with Amazon Echo, which I look forward to trying out.
I've been thinking about many other ways to automate calorie tracking. For a while I thought the answer would be an AI that recognizes photos of food, but that doesn't feel important any more. I think speech-to-text takes approximately the same amount of time as opening the camera and snapping a photo. There have a been a few minor errors with Apple's voice dictation, but so far I've seen 100% accuracy from the actual text searches.
So anyway, speech-to-text research. It's all important.
- r-w 10y agoAlthough I kind of wish Apple hadn’t baked speech recognition into their parsing algorithm. Not everything I say will be in their dictionary, and there are times I’d rather just be able to type the query in myself than have Siri misunderstand it and then have to manually retype the parts that were misinterpreted.