This episode of Fresh Machine Learning is about generating rap lyrics! Lyrical generation is possible using either Hidden Markov Models or deep learning. In this episode, I go through a few past examples of what's been done before, then dive into our own example that we can code in Python. Welcome to the machine MC revolution!
The demo code for this video can be found here:
https://github.com/llSourcell/Rap_Lyric_Generator
I created a Slack channel for us, sign up here:
https://wizards.herokuapp.com/
Try it out live here:
http://deepbeat.org/
I introduce three papers in this video
Unsupervised Rhyme Scheme Identification in Hip Hop Lyrics Using Hidden Markov Models:
http://link.springer.com/chapter/10.1007%2F978-3-642-39593-2_3
Modeling Hip Hop Challenge-Response Lyrics as Machine Translation:
http://www.illc.uva.nl/LaCo/CLS/papers/wu_hiphop_itg.pdf
DopeLearning: A Computational Approach to Rap Lyrics Generation:
http://arxiv.org/abs/1505.04771
More info about Hidden Markov Models:
https://www.youtube.com/watch?v=TPRoLreU9lA
https://www.quora.com/What-is-a-simple-explanation-of-the-Hidden-Markov-Model-algorithm
http://www.developerstation.org/2011/11/hidden-markov-models-for-dummies.html
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