We took a breather for a few months. Our meetup had a series of great Winter/Spring events and deserved the summer off.
But lets have a little late summer fun yeah? If you’d like to present at our next event, please send links to Seth via the meetup group with to your working products and we’ll go from there.
When I just started playing the guitar and began learning my favorite songs from the internet, I was often surprised that what I played sounded like rough versions of what I heard on the records. I found my answer while taking a course in music theory in college. It was all about chord voicings and sometimes about the quality of chords. Carefully chosen voicings could completely transform a song. Sometimes it was because the baseline was smoother. Other times it was because the top notes formed a nice complimenting melody. Occasionally, even the place in the fretboard mattered — a voicing with the exact same notes but played in the middle of the fretboard sounded nicer than one using open strings.
I became very curious about chord voicings. Looking through books and searching online for the right voicing was very time consuming, and even with all that time spent, I often couldn’t find what I wanted. That’s when I decided to write a program that would find the voicings for me. It was a difficult challenge, but at the end, I had an app that gave me the exact voicings that I wanted (ChordMate). And if couldn’t find a precise match, I knew that I didn’t miss anything and just had to find the right compromise.
Then I faced another problem. I’d make a beautiful arrangement, and then I’d forget it in a couple weeks. I turned to tablature, but that required me to spell out every detail, which was very tedious and unnecessary — everything that I wanted to capture besides the chord voicings could be done with a simple recording. So I made another app to help me write down my arrangements without going through extra steps with tablature (Songs). I’ve combined Songs and ChordMate into one app (Songs Pro).
To raise awareness about Songs Pro, my company is giving away 5 promo codes to Music Techsters. We hope you’ll find our app useful and tell your friends and fellow songwriters!
The codes above are valid until June 5th. They can be redeemed by only one person – so please post a comment when you use a code successfully.
“I’ve taken brain waves and sonified them.” – Mickey Hart
The rules were simple, send us your Soundcloud or Github link and we’ll hook you up with a free ticket. Here’s who won:
1. https://soundcloud.com/oxin & https://github.com/oxenboxen
6. https://soundcloud.com/robbyt & https://github.com/robbyt/
If you missed it, hope you’ll still attend: http://www.meetup.com/music-techster/events/221029545/
Algorithmic Art and Visual Musical-Composition Meetup
When: Thur April 9th, 6:30pm
What are the legal ramifications of artificial intelligence programs creating content?. If you have a quantitative or data science background and you are interested in artificial intelligence creating music, or if you are a VC firm, intellectual property lawyer, musician or a professional in a related field, this group covers bleeding edge machine learning code applied to creative fields. Learn about startups and coders creating content that is passing “musical turing tests” using a new type of data science that could be the foundation of new music recommendation engines or even new B2C “algorithmic music streaming services”
More info: http://bit.ly/1zP0ael
“Celebrating the world in small, manageable daily chunks.”
In a world increasingly saturated by algorithm-driven music recommendation engines, A Song A Day offers a refreshingly human approach to music discovery. Founded by Shannon Byrne (@ShannnonB), a music enthusiast as passionate about sharing her discoveries as she is about the music itself, the business is made up of a volunteer community of music curators who email subscribers a personalized song every weekday based on users’ individual preferences.
A Song A Day has been growing organically from Shannon’s knack for uncovering new buzz-worthy material. She had long been known among her friends as the go-to for fresh music and luckily for them (and now for us) Shannon likes to share and so she set out to build a platform to post her finds for everyone to hear. Demand for her service became almost instantly apparent – after the website went up, all it took was a single tweet and music fans flocked to asongaday.co – several hundred subscribers in the first hour. In fact, demand was so strong that it was becoming overwhelming for her to handle alone. Thankfully friends came along and offered to help her out with research and recommendations and the group ultimately grew into A Song A Day’s current curator community.
For me, the system works. Like 90% of New Yorkers, I don’t have the bandwidth to seek out new music as much as I would like so I rely on music discovery aids and find special value in A Song A Day’s offering compared to that of others. I do regularly use Pandora and Songza and feel those platforms are effective, but I find they lack the same level of intimacy and community connectedness that A Song A Day brings with one simple tune picked especially for me. Now Shannon does admit that a more automated system is in the works (which is necessary for the business to scale) but at the same time, she completely appreciates the special relationship A Song A Day and its curators have with users – it’s this interaction that differentiates A Song A Day from other related services. All in all, A Song A Day offers an encouraging perspective on the future of peer-to-peer music discovery which it approaches with a healthy balance between personal human experience and technological efficiency.
Watch the demo here:
blog post by Ryan Ziemba