News

A rap generator is now available to the public on the Internet

The DeepBeat is a machine learning algorithm that creates rap lyrics on the basis of huge data masses.

A rap generator DeepBeat, developed by researchers from the Department of Computer Science at Aalto University, HIIT and the University of Helsinki was published online on the 5th of November. Earlier the generator has been only in research use.

The DeepBeat is a machine learning algorithm that creates rap lyrics on the basis of huge data masses. At the moment in the database there are in total 641 000 lines and 12 500 songs produced by more than one hundred artists in Finnish and in English.

– With the help of the rap generator you can generate a whole new rap verse, which is a combination of already existing rhymes. You and the generator can even produce rhymes with predefined keywords, states researcher Eric Malmi.

In addition, the generator allows you to place your own rhyme in the beginning of the verse. Then the programme will produce a verse matching to it.

– Rap music can be created with the help of a computer rhyme by rhyme - the DeepBeat suggesting the best alternatives for every rhyme. Even though it makes this mostly on the basis of the previous rhyme, the new rhyme must fit in the verse as a whole, too. Still the user makes the final decision, says Malmi.

The rap generator can be used for instance in the creation of a customized birthday rap song for a friend.

In the process of choosing one rhyme at a time the generator receives feedback of the user's choices. This data will be used in the improvement of search results, along with as a collection of data for a further use.

– The rap generator can be used for instance in the creation of a customized birthday rap song for a friend. The lyrics can then be shared in the Facebook, continues Malmi.

The rhyme factor of the lyrics produced by the generator are on average 21% higher compared to the best human rap artists who work in English. Still the generator is in the first place meant to be used for the pleasure rather than for the business. Thus amateur rap artists can be inspired by the DeepBeat lyrics. Next to each DeepBeat produced rap rhyme there will be the image of the artist who wrote the line.

DeepBeat was developed by doctoral students Eric Malmi and Pyry Takala, along with professors Tapani Raiko and Aristides Gionis from the Aalto University Computer Science Department and professor Hannu Toivonen from the University of Helsinki and HIIT.

More information:

Eric Malmi
Tel. +358 44 047 8010
[email protected]

The rapgenerator (deepbeat.org)

 

 

 

 

  • Published:
  • Updated:
Share
URL copied!

Read more news

Lauri Parkkonen and the family cat, Roosa. Photo: Lauri Parkkonen, Aalto, University.
Press releases Published:

New imaging technique to find out what happens in the brains of cats and dogs

A brain imaging device based on quantum optical sensors could also be used to study the brains of human babies
Kuvaa laitteittosta Aalto-yliopsiton Kylmälaboratoriossa.
Press releases Published:

Perpetual motion is possible – Scientists at Aalto University’s Low Temperature Lab observed the interaction of two time-crystals that bend the laws of physics

Time-crystals are a phase of matter in which the particles more in a perpetually repeating cycle with no external input of energy. Researchers were able to create two time-crystals at Aalto University’s Low Temperature Lab and observe their interaction. In the future, time-crystals might have applications in devices such as quantum computer memory components.
Valkoinen laboratoriotakki sekä analyysityökalu, jolla voidaan mitata veripisarasta särkylääkkeen pitoisuus.
Press releases Published:

Portable and quick analytics tool can revolutionise the pain killer diagnostics market

Fepod Oy Ltd, an Aalto University based start-up, has developed an analysis tool that allows healthcare professionals to measure the concentration of paracetamol, opioids and other painkillers real concentration in a single drop of blood.
Yhdistelmäkuva, jossa näkyy revontulia, Maa, mittauksia.
Press releases Published:

Suomi 100 did what could previously be done only by much larger satellites: photographing and studying the aurora borealis

Studying the aurora borealis area helps in the development of safe telecommunications, for example.