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Using Machine Learning to generate rap lyrics

21 点作者 MOil超过 9 年前

2 条评论

hooande超过 9 年前
There are some very interesting techniques in the linked paper, particularly the moving average alternative to bag of words and the use of RankSVM.<p>But this generated sample (verbatim) isn&#x27;t rap, it&#x27;s just rhyming words:<p><pre><code> You&#x27;ve been a survivor and we love you so much You don&#x27;t know me - I kill everyone who show love I I know you all love me to be sad and shit but Will lead you to peace to love to unity and havin&#x27; fun And say I love you momma and you are not alone To say I love you! I love you! Forever so! I say I love you you say it don&#x27;t show Tell me you love me I love you baby oh oh Oh baby I love you Can I love you baby? What we about to do &#x27;&#x27;HOW COULD YOU JUST LEAVE ME AND LOVE HIM OUT THE BLUE?!&#x27;&#x27; But your on it too so you tell me you love me too Let your love home you Let me move you tonight Baby I know you love it when I shine I&#x27;m waitin&#x27; .. And I think I love him I love him just like I raised him I love rap no matter how much I say I hate it </code></pre> Contrary to popular belief, rap lyrics do contain insight and capture cultural moments. The gap there relates to the question of whether or not computer programs can be &#x27;creative&#x27;. This line from the linked paper also sheds light on the quality of these lyrics:<p>&quot;In terms of quantitative rhyme density, the produced lyrics outperform best human rappers by 21%&quot;<p>I&#x27;m not sure if sheer rhyme density is how rap or any other form of music should be judged, but if it is then human rappers are only 79% as good as the best machine MCs.
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MOil超过 9 年前
The Actual Thesis: <a href="http:&#x2F;&#x2F;arxiv.org&#x2F;pdf&#x2F;1505.04771v1.pdf" rel="nofollow">http:&#x2F;&#x2F;arxiv.org&#x2F;pdf&#x2F;1505.04771v1.pdf</a>