Machine Learning and Deep Learning in the Voice Space

The first voice interface going back to the 50s could only understand 10 digits spoken by one person. Now we have machine learning and deep learning. We can take a thousand examples of a word, you know, an audio clips of a word. When I say something ambiguous, like Alexa, play, live and let die, Alexa can then infer that because I listened to the wings version of that last week,. And because I'm saying it in my kitchen to a speaker, I want to listen to a song but don't want to play James Bond film on TV screen. This is actually where if voice interfaces are going to be truly sort of useful and companion like to us then they really need