Speech Recognition, beside transcribing phonemes and match to a NN of possible words, is not solved because speech is highly integrated with the human context:

Speech Recognition, beside transcribing phonemes and match to a NN of possible words, is not solved because speech is highly integrated with the human context: who is speaking, to whom is speaking, where is the speech happening, why is the speech initiated, and so on. My kids needed 5-6 years of continous daily talking until I could say they understand a conversation almost completly. Every single word or phrase I directed at them was spoken in a certain context and had a certain role in communicating with them when from the context it wasn't clear what my intentions were. Of course, they had their fun, throwing words away and repeating endlesly some funny word or phrase or terribly spelling them. It is interesting that you as an adult need too learn their own prononciation, at some moment in time I even wrote a small dictionary. Again, speech recognition will simply stay at recognizing phonemes/words only for a very long time, until we have a true AI Assistant that walks with us, sees with us, and hears with us in the same time. Then it can apply some semantic and other context based related NN.