Month: January 2015

A presentation for Berklee BTOT 2015 http://www.berklee.edu/faculty 

Around the year 1700, several startup ventures developed prototypes of machines with thousands of moving parts. After 30 years of engineering, competition, and refinement, the result was a device remarkably similar to the modern piano.

What are the musical instruments of the future being designed right now?

• new composition tools,
• reactive music,
• connecting things,
• sensors,
• voices, 
• brains

Notes:

predictions?

Ray Kurzweil’s future predictions on a timeline: http://imgur.com/quKXllo (The Singularity will happen in 2045)

In 1965 researcher Herbert Simon said: “Machines will be capable, within twenty years, of doing any work a man can do”. Marvin Minsky added his own prediction: “Within a generation … the problem of creating ‘artificial intelligence’ will substantially be solved.” https://forums.opensuse.org/showthread.php/390217-Will-computers-or-machines-ever-become-self-aware-or-evolve/page2

Patterns

Are there patterns in the ways that artists adapt technology?

For example, the Hammond organ borrowed ideas developed for radios. Recorded music is produced with computers that were originally as business machines.

Instead of looking forward to predict future music, lets look backwards to ask,”What technology needs to happen to make musical instruments possible?” The piano relies upon a single-escapement (1710) and later a double-escapement (1821). Real time pitch shifting depends on Fourier transforms (1822) and fast computers (~1980).

Artists often find new (unintended) uses for tools. Like the printing press.

New pianos

The piano is still in development. In December 2014, Eren Başbuğ composed and performed music on the Roli Seaboard – a piano keyboard made of 3 dimensional sensing foam:

Here is Keith McMillen’s QuNexus keyboard (with Polyphonic aftertouch):

https://www.youtube.com/watch?v=bry_62fVB1E

Experiments

Here are tools that might lead to new ways of making music. They won’t replace old ways. Singing has outlasted every other kind of music.

These ideas represent a combination of engineering and art. Engineers need artists. Artists need engineers. Interesting things happen at the confluence of streams.

Analysis, re-synthesis, transformation

Computers can analyze the audio spectrum in real time. Sounds can be transformed and re-synthesized with near zero latency.

Infinite Jukebox

Finding alternate routes through a song.

by Paul Lamere at the Echonest

Echonest has compiled data on over 14 million songs. This is an example of machine learning and pattern matching applied to music.

http://labs.echonest.com/Uploader/index.html

Try examples: “Karma Police”, Or search for: “Albert Ayler”)

• Analyze your own music: https://reactivemusic.net/?p=18026

Remixing a remix

“Mindblowing Six Song Country Mashup”: https://www.youtube.com/watch?v=FY8SwIvxj8o (start at 0:40)

Local file: Max teaching examples/new-country-mashup.mp3

More about Echonest

• Music Machinery by Paul Lamere: http://musicmachinery.com
• Echonest segment analysis player: https://reactivemusic.net/?p=6296

Feature detection

Looking at music under a microscope.

removing music from speech

First you have to separate them.

SMS-tools

by Xavier Serra and UPF

Harmonic Model Plus Residual (HPR) – Build a spectrogram using STFT, then identify where there is strong correlation to a tonal harmonic structure (music). This is the harmonic model of the sound. Subtract it from the original spectrogram to get the residual (noise).

Settings for above example:

• Window size: 1800 (SR / f0 * lobeWidth) 44100 / 200 * 8 = 1764
• FFT size: 2048
• Mag threshold: -90
• Max harmonics: 30
• f0 min: 150
• f0 max: 200

Many kinds of features

• Low level features: harmonicity, amplitude, fundamental frequency
• high level features: mood, genre, danceability

Examples of feature detection

• Acoustic Brainz:  https://reactivemusic.net/?p=17641 (typical analysis page)
• Freesound (vast library of sounds):  https://www.freesound.org – look at “similar sounds”
• Essentia (open source feature detection tools)  https://github.com/MTG/essentia
• “What We Watch” – Ethan Zuckerman https://reactivemusic.net/?p=10987

Music information retrieval

Finding the drop

“Detetcting Drops in EDM” – by Karthik Yadati, Martha Larson, Cynthia C. S. Liem, Alan Hanjalic at Delft University of Technology (2014) https://reactivemusic.net/?p=17711

Polyphonic audio editing

Blurring the distinction between recorded and written music.

Melodyne

by Celemony

http://www.celemony.com/en/start

A minor version of “Bohemian Rhapsody”: http://www.youtube.com/watch?v=voca1OyQdKk

Music recognition

“How Shazam Works” by Farhoud Manjoo at Slate: https://reactivemusic.net/?p=12712, “About 3 datapoints per second, per song.”

• Music fingerprinting: https://musicbrainz.org/doc/Fingerprinting
• Humans being computers. Mystery sounds. (Local file: Desktop/mystery sounds)
• Is it more difficult to build a robot that plays or one that listens?

Sonographic sound processing

Transforming music through pictures.

by Tadej Droljc

 https://reactivemusic.net/?p=16887

(Example of 3d speech processing at 4:12)

local file: SSP-dissertation/4 – Max/MSP/Jitter Patch of PV With Spectrogram as a Spectral Data Storage and User Interface/basic_patch.maxpat

Try recording a short passage, then set bound mode to 4, and click autorotate

Spectral scanning in Ableton Live:

http://youtu.be/r-ZpwGgkGFI

Web Audio

Web browser is the new black

Noteflight

by Joe Berkowitz 

http://www.noteflight.com/login

Plink

by Dinahmoe

http://labs.dinahmoe.com/plink/

Can you jam over the internet?

What is the speed of electricity? 70-80 ms is the best round trip latency (via fiber) from the U.S. east to west coast. If you were jamming over the internet with someone on the opposite coast it might be like being 100 ft away from them in a field. (sound travels 1100 feet/second in air).

Global communal experiences – Bill McKibben – 1990 “The Age of Missing Information”

More about Web Audio

• A quick Web Audio introduction: https://reactivemusic.net/?p=17600
• Gibber by Charlie Roberts http://gibber.mat.ucsb.edu/

Conversation with robots

Computers finding meaning

The Google speech API

https://reactivemusic.net/?p=9834

The Google speech API uses neural networks, statistics, and large quantities of data.

Microsoft: real-time translation

• German/English http://digg.com/video/heres-microsoft-demoing-their-breakthrough-in-real-time-translated-conversation
• Skype translator – Spanish/English: http://www.skype.com/en/translator-preview/

Reverse entropy

InstantDecomposer

Making music from from sounds that are not music.

by Katja Vetter

. (InstantDecomposer is an update of SliceJockey2):   http://www.katjaas.nl/slicejockey/slicejockey.html

• local: InstantDecomposer version: tkzic/pdweekend2014/IDecTouch/IDecTouch.pd
• local: slicejockey2test2/slicejockey2test2.pd

More about reactive music

• RJDJ apps – create personal soundtracks from the environment
• “Lyrebirds” by Christopher Lopez https://www.youtube.com/watch?v=Ouws45R2iXg

Sensors and sonification

Transforming motion into music

Three approaches

• earcons (email notification sound)
• models (video game sounds)
• parameter mapping (Geiger counter)

Leap Motion

camera based hand sensor

“Muse” (Boulanger Labs) with Paul Bachelor, Christopher Konopka, Tom Shani, and Chelsea Southard: https://reactivemusic.net/?p=16187

Max/MSP piano example: Leapfinger: https://reactivemusic.net/?p=11727

local file: max-projects/leap-motion/leapfinger2.maxpat

Internet sensors project

Detecting motion from the Internet

https://reactivemusic.net/?p=5859

Twitter streaming example

https://reactivemusic.net/?p=5786

MBTA bus data

 Sonification of Mass Ave buses, from Harvard to Dudley

https://reactivemusic.net/?p=17524

Stock market music

https://reactivemusic.net/?p=12029

More sonification projects

Vine API mashup

By Steve Hensley

Using Max/MSP/jitter

local file: tkzic/stevehensely/shensley_maxvine.maxpat

Audio sensing gloves for spacesuits

By Christopher Konopka at future, music, technology

http://futuremusictechnology.com

Computer Vision

Sensing motion with video using frame subtraction

by Adam Rokhsar

https://reactivemusic.net/?p=7005

local file: max-projects/frame-subtraction

The brain

Music is stored all across the brain.

Mouse brain wiring diagram

The Allen institute

https://reactivemusic.net/?p=17758 

“Hacking the soul” by Christof Koch at the Allen institute

(An Explanation of the wiring diagram of the mouse brain – at 13:33) http://www.technologyreview.com/emtech/14/video/watch/christof-koch-hacking-the-soul/

OpenWorm project

A complete simulation of the nematode worm, in software, with a Lego body (320 neurons)

: https://reactivemusic.net/?p=17744

AARON

Harold Cohen’s algorithmic painting machine

https://reactivemusic.net/?p=17778

Brain plasticity

A perfect pitch pill? http://www.theverge.com/2014/1/6/5279182/valproate-may-give-humans-perfect-pitch-by-resetting-critical-periods-in-brain

DNA

Could we grow music producing organisms? https://reactivemusic.net/?p=18018

 

Two possibilities

Rejecting technology?

An optimistic future?

There is a quickening of discovery: internet collaboration, open source, linux,  github, r-pi, Pd, SDR.

“Robots and AI will help us create more jobs for humans — if we want them. And one of those jobs for us will be to keep inventing new jobs for the AIs and robots to take from us. We think of a new job we want, we do it for a while, then we teach robots how to do it. Then we make up something else.”

“…We invented machines to take x-rays, then we invented x-ray diagnostic technicians which farmers 200 years ago would have not believed could be a job, and now we are giving those jobs to robot AIs.”

Kevin Kelly – January 7, 2015, reddit AMA http://www.reddit.com/r/Futurology/comments/2rohmk/i_am_kevin_kelly_radical_technooptimist_digital/

Will people be marrying robots in 2050? http://www.livescience.com/1951-forecast-sex-marriage-robots-2050.html

“What can you predict about the future of music” by Michael Gonchar at The New York Times https://reactivemusic.net/?p=17023

Jim Morrison predicts the future of music:

More areas to explore

• NIME (New interfaces for musical expression) http://en.wikipedia.org/wiki/New_Interfaces_for_Musical_Expression
• Immersive virtual musical instruments http://en.wikipedia.org/wiki/Immersive_virtual_musical_instrument
• I’m thinking of something: http://imthinkingofsomething.com