AI and Speech Recognition: A Primer for Chatbots

Francesco Corea
6 min readDec 15, 2016
Image Credit: josefkubes/Shutterstock

Conversational User Interfaces (CUI) are at the heart of the current wave of AI development. Although many applications and products out there are simply “Mechanical Turks” — which means machines that pretend to be automatized while a hidden person is actually doing all the work — there have been many interesting advancements in speech recognition from the symbolic or statistical learning approaches.

In particular, deep learning is drastically augmenting the abilities of the bots with respect to traditional NLP (i.e., bag-of-words clustering, TF-IDF, etc.) and is creating the concept of “conversation-as-a-platform”, which is disrupting the apps market.

Our smartphone currently represents the most expensive area to be purchased per squared centimeter (even more expensive than the square meters price of houses in Beverly Hills), and it is not hard to envision that having a bot as unique interfaces will make this area worth almost zero.

None of these would be possible though without heavily investing in speech recognition research. Deep Reinforcement

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Francesco Corea

Data science @ Greycroft. Previously @Balderton @Anthemis @UCLA. All opinions are my own.