ChatGPT is truly an amazing feat in AI advancements, and perhaps the most notable step in Generative AI that we have witnessed in a while. Use-cases for ChatGPT are seemingly endless, with people documenting the model's ability to write and fix code, write articles, and general conversation. Whilst playing around with ChatGPT, I got the idea to ask it to write a song for me. Their ability for word play, rhyme, flow, and delivery always impresses me. I wanted to test ChatGPT on writing a rap song for me.

Rap generation, which aims to produce lyrics and corresponding singing beats, needs to model both rhymes and rhythms. Previous works for rap generation focused on rhyming lyrics but ignored rhythmic beats, which are important for rap performance. In this paper, we develop DeepRapper, a Transformer-based rap generation system that can model both rhymes and rhythms. Since there is no available rap dataset with rhythmic beats, we develop a data mining pipeline to collect a large-scale rap dataset, which includes a large number of rap songs with aligned lyrics and rhythmic beats. Second, we design a Transformer-based autoregressive language model which carefully models rhymes and rhythms. Specifically, we generate lyrics in the reverse order with rhyme representation and constraint for rhyme enhancement and insert a beat symbol into lyrics for rhythm/beat modeling. To our knowledge, DeepRapper is the first system to generate rap with both rhymes and rhythms. Both objective and subjective evaluations demonstrate that DeepRapper generates creative and high-quality raps with rhymes and rhythms. Code will be released on GitHub.

It won't be long before artificial intelligence is writing and creating films. As impossible as it seems, it won't be long before artificial intelligence is writing and creating films. For example, one AI computer was given hundreds of samples of 17th-century "Old Master" style paintings and was asked to create its own paintings. One of the paintings it came up with is titled "Portrait of Edmond De Belamy" and sold for a whopping $432,500 at a Christie's auction. Thus, AI can write entire stories, create visual images, and create music, and it will not be long before these abilities are combined with entire movies being created by AI, perhaps even emulating existing actors or creating new "stars" for a franchise.

It won't be long before artificial intelligence is writing and creating films. As impossible as it seems, it won't be long before artificial intelligence is writing and creating films. For example, one AI computer was given hundreds of samples of 17th-century "Old Master" style paintings and was asked to create its own paintings. One of the paintings it came up with is titled "Portrait of Edmond De Belamy" and sold for a whopping $432,500 at a Christie's auction. Thus, AI can write entire stories, create visual images, and create music, and it will not be long before these abilities are combined with entire movies being created by AI, perhaps even emulating existing actors or creating new "stars" for a franchise.

Robbie Barrat is president and founder of their high school computer science club; they created Rapper-Neural-Network, a free software project that uses machine learning trained on a corpus of 6,000 Kanye West lines to autogenerate new rap songs. "It's a neural network that has been trained on rap songs, and can use any lyrics you feed it and write a new song (it now writes word by word as opposed to line by line) that rhymes and has a flow (to an extent)." You an addict of cheating but I took the charge Stop running up my money tall, height advantage Ohhhhh, ohhhh; ohhh you too much to handle in one package Not now but right now, you know... I had to go downtown Shorty come and fix you up like bobby brown Then he help me get my back up in this part of town I can make you come and fix you up like bobby brown Driving in the sky, you got a new crib to hold down Shit's about to go and put my mack berry down

The goal of our system was to predict whether or not a rap song would appear on the Billboard Top 100 Charts. We treated this as a supervised machine learning problem, and we narrowed down our dataset of songs 24,175 entries. This dataset contained 1,491 rap songs that had successfully made it onto the top 100 charts, and the remaining songs from those artists that did not make it onto the charts. With such a large offset between the number of successful and unsuccessful songs, we used randomized sampling to better balance the data. We used combinations of the features we described above and various machine learning algorithms to better hone our predictive score.

The goal of our system was to predict whether or not a rap song would appear on the Billboard Top 100 Charts. We treated this as a supervised machine learning problem, and we narrowed down our dataset of songs 24,175 entries. This dataset contained 1,491 rap songs that had successfully made it onto the top 100 charts, and the remaining songs from those artists that did not make it onto the charts. With such a large offset between the number of successful and unsuccessful songs, we used randomized sampling to better balance the data. We used combinations of the features we described above and various machine learning algorithms to better hone our predictive score.