Perhaps you could get around the high error rate of speech recognition by having it ask the user again when it's not certain, and use prior probabilities on wha

Perhaps you could get around the high error rate of speech recognition by having it ask the user again when it's not certain, and use prior probabilities on what they likely said ("wreck a nice beach" is less likely than "recognize speech".) I wonder if a generative model would be acceptable at producing speech. It works really great on handwriting (http://www.cs.toronto.edu/~graves/handwriting.cgi?text=This+is+amazing%21&style=&bias=0.15&samples=3 http://www.cs.toronto.edu/~graves/handwriting.cgi?text=This+...). For the underlying AI, this is a great demo of an AI assistant that can do things like you describe (https://www.youtube.com/watch?v=54HpAmzaIbs https://www.youtube.com/watch?v=54HpAmzaIbs) . Good natural language processing, it can learn new facts and even asks questions about things it wants to learn more about.