AI musician composes its own songs in different genres

AI musician composes its own songs in different genres

It's already taking over our jobs, beating us at strategy games and creating 'art'.

Now artificial intelligence is set to conquer the world of music.  

Swiss researchers say they have developed a computer algorithm that can generate new tunes in various musical genres after listening to more than 2,000 songs. 

And while it isn't quite at the level of Justin Bieber or Adele, future versions of the system may be fine-tuned to create songs that rival those by today's musicians. 

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The deep artificial composer, or DAC, produces original melodies that are 'quite agreeable to listen to', according to its developers at EPFL research university in Lausanne, Switzerland

HOW DOES IT WORK? 

The DAC system is trained to 'listen' to existing tunes to learn what works.

It then teaches itself to predict the pitch and duration of every note following another.

The machine's training is complete once it is accurate at predicting 50 percent of note pitches and 80 percent of note durations.

Then starts the creation.

The deep artificial composer builds a string of notes from beginning to end, including the very first note.

It picks a follow-up note for each note played, based on the range of probabilities it memorised.

But the programme is taught not to pick the single-most probable note - rather one of the many between least and most probable. 

This prevents it from repeating the same thing, and instead, the programme produces 'an infinity of different tunes'.

 

The deep artificial composer, or DAC, 'can produce complete melodies, with a beginning and an end, that are completely original,' said co-developer Florian Colombo of the EPFL research university in Lausanne, Switzerland. 

And the melodies are 'quite agreeabl e to listen to,' he told AFP.

The DAC programme uses a form of artificial intelligence known as 'deep learning' that works in a similar way to the human brain in memorising experiences and learning from them.

It is a fast-growing field, with more and more possibilities opening up as computers grow stronger and databases larger.

The DAC system is trained to 'listen' to existing tunes to learn what works and what does not.

It the latest study it was trained on 2,158 folk songs.  

It teaches itself to predict the pitch and duration of every note following another.

Once it is accurate at predicting 50 percent of note pitches and 80 percent of note durations in existing songs, the machine's training is complete.

Then starts the creation.

'The deep artificial composer builds a string of notes from beginning to end, including the very first note,' said an EPFL statement.

It picks a follow-up note for each note played, based on the range of probabilities it memorised.

But the programme is taught not to pick the single-most probable note - rather one of the many between least and most probable. 

'An algorithm that always opts for most probable note will just keep repeating the same thing,' said Colombo.

Instead, the programme was designed to produce 'an infinity of different tunes'.

It may be versatile, but the DAC is no Mozart.

Pictured is a musician playing one of DAC's original compositions. The researchers tested their programme on Irish and Ashkenazi Jewish folk music. The DAC was able to identify the genre, and avoid mixing the two

Experts asked to listen to DAC- and human-composed melodies can still tell the difference.

'It will be a while before an algorithm will fool connoisseurs of Irish folk music,' said Colombo.

The researchers tested their programme on Irish and Ashkenazi Jewish folk music. The DAC was able to identify the genre, and avoid mixing the two.

Any musical style can be used, said the team.

For the moment, the DAC is limited to single-instrument compositions. Eventually, its developers hope it will create a full orchestra score.

The goal, however, is not to replace flesh-and-blood human composers.

'It is more a tool that can be used to stimulate creativity, to aid the process of composing' in periods of writer's block, said Colombo.

He cited Mozart, who is rumoured to have thrown dice to pick notes.

DAC-composed music may eventually be used for jingles, but probably never as 'serious music,' said Colombo.

'A good composer, with innovative ideas, will never be supplanted by an algorithm,' he said.

'A composer puts something of himself in what he creates, and that a machine cannot do.'

Several companies, including Google, Sony and IBM are working on similar projects.

 

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