Sonification of Mass Ave buses, from Nubian to Harvard.
Updated for Max8 and Catalina
This patch requests data from MBTA API to get the current location of buses – using the Max js object. Latitude and Longitude data is mapped to oscillator pitch. Data is polled every 10 seconds, but it seems like the results might be more interesting to poll at a slower rate, because the updates don’t seem that frequent. And buses tend to stop a lot.
Original project link from 2014: https://reactivemusic.net/?p=17524
MBTA developer website: https://www.mbta.com/developers
This project uses version 3 of the API. There are quality issues with the realtime data. For example, there are bus stops not associated with the route. The direction_id and stop_sequence data from the buses is often wrong. Also, buses that are not in service are not removed from the vehicle list or indicated as such.
The patch uses a [multislider] object to graph the position of the buses along the route – but due to the data problems described above, the positions don’t always reflect the current latitude/longitude coordinates or the bus stop name.
You will need to replace the API key in the message object at the top of the patch with your own key. Or you can probably just remove it. The key distributed with the patch is fake. You can request your own developer API key from MBTA. It’s free.
- Open mbta.maxpat
- Open the Max console window so you can see what’s happening with the data
- click on the yellow [getstops] message to get the current bus stop data
- Toggle the metro (at the top of the patch) to start polling
- Turn on the audio (click speaker icon) and turn up the gain
Note: there will be more buses running during rush hours in Boston. Try experimenting with the polling rate and ramp length in the poly-oscillator patch. Also, you can experiment with the pitch range.
This post describes an updated project.
The earlier version can be found here https://reactivemusic.net/?p=5413
This project is part of the internet-sensors project: https://reactivemusic.net/?p=5859
2024/01/21: not working:
Soundcloud deleted my API credentials and is not accepting new requests. So there is really no point to using this project unless you have active credentials.
console.error() function crashes node. -fixed locally
In this patch, Max uses the Soundcloud API to search tracks and then select a result to download and play. It uses the node.js soundcloud-api-client https://github.com/iammordaty/soundcloud-api-client
For information on the soundcloud API http://developers.soundcloud.com/docs/api/reference
main Max patch
- The Soundcloud client-id is embedded in scnode.js – you will need to edit this file to replace the worthless client-id with your own. To get a client ID you will first need a Soundcloud account. Then register an app at: http://soundcloud.com/you/apps
first time instructions
- Open the Max patch: sc.maxpat
- In the green panel, click on [script npm init]
- In the green panel , click on [script install soundcloud-api-client]
- Open the Max patch sc.maxpat
- open the max.console window so you can see the API data
- click [script start]
- click the speaker icon to start audio
- type something into the search box and press <enter> or click the button to the left to search for what is already in the box.
- select a track from the result menu, wait for it to start playing
Echo Nest API audio analysis data is now provided by Spotify. This project is part of the internet-sensors project: https://reactivemusic.net/?p=5859
There is an older version here using the discontinued Echo Nest API: https://reactivemusic.net/?p=6296
Note: Last tested 2024/01/21
The original analyzer document by Tristan Jehan can be found here (for the time being): https://web.archive.org/web/20160528174915/http://developer.echonest.com/docs/v4/_static/AnalyzeDocumentation.pdf
This implementation uses node.js for Max instead of Ruby to access the API. You will need set up a developer account with Spotify and request API credentials. See below.
Other than that, the synthesis code in Max has not changed. Some of the following background information and video is from the original version. ..
What if you used that data to reconstruct music by driving a sequencer in Max? The analysis is a series of time based quanta called segments. Each segment provides information about timing, timbre, and pitch – roughly corresponding to rhythm, harmony, and melody.
main Max patch
abstractions and other files
node folders and infrastructure
- You will need to install node.js
- the node package manager will do the rest – see below.
Note: Your best bet is to just download the repository, leave everything in place, and run it from the existing folder
You will need to sign up for a developer account at Spotify and get an API key. https://developer.spotify.com/documentation/general/guides/authorization-guide/
Edit spot1.js replacing the cliendID and clientSecret with your spotify credentials
node for max install instructions (first time only)
- Open the Max patch: spotify-synth1.maxpat
- Scroll the patch over to the far right side until you see this green panel:
- Click the [script npm init] message – this initializes the node infrastructure in the current folder
- Then click each of the 2 script npm install messages – this installs the necessary libraries
- Open the Max patch: spotify-synth1.maxpat
- Click the green [script start] message
- Click the Speaker icon to start audio
- Click the first dot in the preset object to set the mixer settings to something reasonable
- open the Max Console window so you can see the Spotify API data
- From the 2 menus at the top of the screen select an Artist and Title that match, for example: Albert Ayler and “Witches and Devils”
- Click the [analyze] button – the console window should fill with interest data about your selection.
- Click [play]
- Note: if you hear a lot of clicks and pops, reduce the audio sample rate to 44.1 KHz.
Alternative search method:
Enter an Artist and Song title for analysis, in the text boxes. Then press the buttons for title and artist. Then press the /analyze button. If it works you will get prompts from the terminal window, the Max window, and you should see the time in seconds in upper right corner of the patch.
If there are problems with the analysis, its most likely due to one of the following:
- artist or title spelled incorrectly
- song is not available
- song is too long
- API is busy
The Mixer channels from Left to right are:
- synth (left)
- synth (right)
- random octave synth
- timbre synth
- master volume
- gain trim
- HPF cutoff frequency
Best results happen with slow abstract material, like the Miles (Wayne Shorter) piece above. The bass is not really happening. Lines all sound pretty much the same. I’m thinking it might be possible to derive a bass line from the pitch data by doing a chordal analysis of the analysis.
Here are screenshots of the Max sub-patches (the main screen is in the video above)
Timbre (percussion synth) – plays filtered noise:
Random octave synth:
Here’s a Coltrane piece, using roughly the same configuration but with sine oscillators for everything:
There are issues with clicks on the envelopes and the patch is kind of a mess but it plays!
Several modules respond to the API data:
- tone synthesiszer (pitch data)
- harmonic (random octave) synthesizer (pitch data)
- filtered noise (timbre data)
- bass synthesizer (key and mode data)
- envelope generator (loudness data)
Since the key/mode data is global for the track, bass notes are probable guesses. This method doesn’t work for material with strong root motion or a variety of harmonic content. It’s essentially the same approach I use when asked to play bass at an open mic night.
Now that this project is running again. I plan to write additional synthesizers that follow more of the spirit of the data. For example, distinguishing strong pitches from noise.
Also would like to make use of the [section] data as well as the rhythmic analysis. There is an amazing amount of potential here.
Notes gqrx – piping I/Q audio stream into Max
Update: This method has limitations – see below. It is an alternative to CubicSDR. But not as robust especially with audio streaming. There is something wrong with the I/Q output from gqrx. Can’t get a consistent set of signals across the band.
https://github.com/csete/gqrx Information here on adding hardware drivers.
Install gqrx with macports:
sudo port install gqrx
Install gtelnet with macports (Mac OS has jettisoned telnet)
sudo port install inetutils
Here’s a list of telnet commands that work with gqrx: https://gqrx.dk/doc/remote-control
For some reason gqrx not accepting ivp4 addresses. Need to telnet the frequency commands using this:
gtelnet ::ffff:127.0.0.1 7356
actually this netcat command works too. Make sure to use double quotes:
echo “F 7015000” | nc -w 1 ::ffff:127.0.0.1 7356
In gqrx, select the I/Q demodulator and set the audio output to blackhole 2ch
For some reason, you can’t set the audio output sr to anything other than 48 KHz. This is apparently a feature. So the I/Q output bandwidth is limited, therefore no Wide band FM.
Unfortunately UDP audio streaming is limited to 1 channel, so no chance of I/Q streaming: https://gqrx.dk/doc/streaming-audio-over-udp
How to build SoapySDR and CubicSDR from source in Ubuntu 20.04
After unsuccessful attempts to compile SoapySDR and CubicSDR on Mac OS and Windows, I was able to get it running in Ubuntu 20.04. The whole process took about 2 hours but could be done in less time if you know what you are doing.
It wasn’t really necessary to install CubicSDR to test SoapySDR. But CubicSDR is the only SoapySDR app that consistently works when it comes to devices, I/Q, files and TCP frequency control.
After completing this install I was also able to compile and run the SoapySDR example code here: https://github.com/pothosware/SoapySDR/wiki/Cpp_API_Example
There are excellent instructions at the CubicSDR wiki on github: https://github.com/cjcliffe/CubicSDR/wiki/Build-Linux
I also added the rtlsdr driver and the airspyhf driver. Instructions for rtlsdr are on the wiki. Instructions for airspyhf are below. You can add these drivers/libraries at any time, after SoapySDR is installed.
There were several missing libraries – described here.
Hamlib is an option in CubicSDR. It was included because we’re using it to send frequency data to the devices via rigctld. You’ll need to install hamlib before you try to compile CubicSDR
Instructions and source code here: https://github.com/Hamlib/Hamlib
Instructions are somewhat vague. Here’s what I did.
sudo apt install libtool
Clone the repository, build, and install:
git clone https://github.com/Hamlib/Hamlib.git cd Hamlib ./bootstrap ./configure make sudo make install
airspyhf library code from Airspy. Instructions here: https://github.com/airspy/airspyhf
This is what I did, if I can remember correctly. You may need to install libusb, but if you have done all the stuff above you probably already have it.
git clone https://github.com/airspy/airspyhf cd airspyhf mkdir build cd build cmake ../ -DINSTALL_UDEV_RULES=ON< make sudo make install sudo ldconfig
Now you can add the Soapy AirspyHF drivers. Instructions here: https://github.com/pothosware/SoapyAirspyHF/wiki
git clone https://github.com/pothosware/SoapyAirspyHF.git cd SoapyAirspyHF mkdir build cd build cmake .. make sudo make install