This is a bit of a fun project I’ve done in recent weeks. Actually adding machine learning for the AIY Voice kit. Most of the ideas I got from Python Programming with Deep Learning.
What I didWhat I did was install tensorflow on the ladybot and set up a deep learning neural network which is able to gauge the sentiment of the sentences sent to the the AIY Voice Kit. This is based on a huge dataset of positive and negative statements gathered from tweets.
The building of the neural network takes a huge amount of time – about a week with 24 hours a day. But luckily this is also available for download. The best way I found of implementing the system was by setting up a socket to the neural network and then feeding the text from the ladybot into the socket. Other methods didn’t seem to work. Code will be supplied shortly as soon as I get a chance.
Surprisingly this works really well with high accuracy rates and is very fast in returning a response. Not sure how this could be used practically but shows that there is potential for this type of system. Here is a link to a demo on YouTube AIY ladybot with Neural Network. All the sentences spoken are unplanned.
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