MILAN RING: Creativity is the ability to express yourself.
BRIGGS: I just try to be in that moment.
SPEAKER 1: Musical inspiration from anywhere,
things that are unexpected.
[DOO] [DOO]
SPEAKER 2: Doo.
SPEAKER 1: I have to do the hand motion.
Otherwise I can't do it.
[LAUGHS] Google's Creative Lab reached out
to us and Milan and Briggs and had these machine
learning-assisted tools that were
going to augment songwriting.
CHARLTON HILL: Uncanny Valley has
partnered with Google's Creative Lab
to investigate how music and songwriting can be aided
by technology in this time.
DAN ROSEN: Technology should be used as an enabler.
So if machine learning and AI can
help in the creative process, then that's super important.
MILAN RING: [VOCALIZING]
Demo Memo.
Basically, you can sing into it and turn that audio file
into a different instrument, kind of hear
what it may sound like once you go and take it to the studio
and produce it all.
Or we could do trumpet.
[TRUMPET]
SPEAKER 1: One thing we were using it for, actually,
was getting disco stabs.
SPEAKER 2: [BRRR]
[STRINGS]
That's just like a really nice bow.
SPEAKER 1: Sometimes all it takes is one sound,
and you will go, I want to write a song with that.
And it'll inspire a melody, and then that'll inspire the beat.
BRIGGS: I'm just trying to put down some bass on that.
[VOCALIZING] Take it down an octave.
[BEAT PLAYING]
MILAN RING: [VOCALIZING]
CHARLTON HILL: Speeds up the demoing process.
Songwriters move quickly in those first moments.
Some of the first moments of creativity are often the best.
So if we can fast track that moment using the tools,
that's incredibly helpful.
BRIGGS: What about classic?
It doesn't sound old.
It sound classic.
See, now we're in the spot.
Ad-libber.
You can put lyrics into the app, and it will spit back
possible avenues for you to travel
within the parameters of those lyrics
and that song title and that idea.
Oh, I like this.
This is a good one.
Meat's always in season, so we hunts to kill.
I could mold that.
[LAUGHS]
SPEAKER 1: A million times-- it's
a good launching off point.
If I was previously stuck, now I have
something I can grab onto and think about.
Then you can click on a word, and it
will give you a dropdown list of potential rhymes
or close rhymes.
It's a collaborative thing, really.
BRIGGS: Thinking.
Suggestion, to recreate the sound.
That took me 40 years.
So that's a diss.
OK, shots fired.
[LAUGHS] Hey, Google, relax with the sass about 40%.
[LAUGHS]
MILAN RING: Even the weird ones, I kind of like those.
There was one I was doing and it was like,
the streetlights on the wall.
And I was like, oh, yeah.
You could run with that.
BRIGGS: OK, let's play on the word season.
It won't build me a verse, but it'll put me somewhere to play.
That part of it is heaps useful.
(RAPPING) If you don't catch blows to your nose bone,
if we come to odds, I always get even.
The fridge is stocked.
Meat's always in season.
MILAN RING: There's always going to be innovation.
It'll be real interesting to see where this next wave of machine
learning technology expands to.
It's thinking.
OK.
Last night I was dreaming.
(SINGING) So in love, so in love.
Last night I was dreaming.
[LAUGHS]
My everything, my everything.
BRIGGS: Programs and apps and tools like this,
it's not going to take away from artists.
It can't tell you how to tell you a story.
It's the human element that captures people.
That's what makes things great.
CHARLTON HILL: Machine learning is
a next step in the democratization of songwriting.
DAN ROSEN: I'm seeing a new generation
of Australian artists using new tools
with their own experiences and creating a unique voice.
BRIGGS: If you can put this into a kid's hand that
didn't see themselves as artists yesterday
but tomorrow they can give it a shot,
that's where you're going to see the change in the game,
for the next generation of kids.