Inspiration
Nobody likes hearing profanities.
What it does
Based on a person's speech patterns, it predicts if the word "duck" is about the be said and then bleeps before it is.
How I built it
I used Google's Cloud Speech API to record what people say, and I wrote an algorithm that periodically trains an LSTM network with that information. The application repeatedly predicts the next four letters and beeps if they spell "duck". I used Neataptic, a neural network library for javascript, and node.js.
Challenges I ran into
-Ignoring the strange looks every time I said "duck"
-The Cloud Speech API did not work as well as I'd hoped. It also had a time limit, so I had to cut the training short -- which meant it was only sometimes accurate. (Update: there was a bug. It is now fixed.)
What I learned
Basic concepts of ML
What's next for Bleeper
I should look for a speech-to-text API without a time limit.
Built With
- lstm
- machine-learning
- neataptic
- node.js
- rnn
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