Actually, in many cases non-NN methods still beat NN for those use cases, at least if you consider things like the speed of the response and consumption of resources as relevant.
Recent papers show that NN are coming back, but I think most of the speech recognition out there is still Hidden Markov Models and most of the image recognition is definitely based on tailored detectors & descriptors. This is especially true when you do these things on the users' mobile devices.
Recent papers show that NN are coming back, but I think most of the speech recognition out there is still Hidden Markov Models and most of the image recognition is definitely based on tailored detectors & descriptors. This is especially true when you do these things on the users' mobile devices.