MuseScore

Are you interested in a MuseScore workshop? There are two coming up! One in the US and one in Germany. The first is organised by the renowned Major Orchestra Librarians’ Association (MOLA) and the second one by Yamaha.The Major Orchestra Librarians’ ... [More] Association is an American-based association that comprises over 270 performance organisations around the world. They represent over 450 librarians whose job is to manage sheet music for each of those institutions. From May 5th to May 8th, 2017, MOLA organises a conference in San Diego. On the 6th and the 8th of May, Marc Sabatella, Adjunct Faculty, University of Denver, will give a MuseScore workshop. Marc completely knows the ins and outs of MuseScore, as he is the author of Mastering MuseScore. A person you might want to meet!On May 18th and 19th, Yamaha organises the Yamaha BläserKlassen-Kongress 2017 in Schlitz. Every year, around 200 teachers from all over Germany come to this event to share information and get new ideas about teaching wind instruments. Felix Maier is music teacher and big band leader at MCG Gehrden, and saxophonist with the band “soul control”. He will give workshops on topics including how to set up a big band score, how to perform in a big band, and how to improvise. In these sessions, he will incorporate useful insights on how MuseScore can be of great help for creating and learning sheet music Would you like to organise or conduct a MuseScore workshop? Please, contact us with some information about yourself! We regularly get requests for this, and we can offer you promotional exposure to get your workshop known within the MuseScore community. [Less]

It happened two weeks ago at the Karajan Classical Music Hack Day in Mozart’s hometown of Salzburg, Austria, where the MuseScore team decided to use technology to bring Mozart ‘back to life’. We made use of open-source technology developed by Google ... [More] called Magenta, based on TensorFlow, which uses machine learning to create art. We used Magenta to train an artificial intelligence to play the piano in the style of Mozart, but to make this happen we needed lots of sheet music in a digital format.So, how does machine learning work? Let’s get into a little more into detail with an example of creating a picture. If you feed pictures of Monet’s painting into a machine learning algorithm, the algorithm will pick out the similarities and learn Monet’s unique artistic style. Once finished, the algorithm will be able to turn any random picture into something that looks like it was painted by the master himself. For example, a photograph of a dog can be stylized to look as though it were a painting by Claude Monet. Sounds simple, doesn’t it?Photo from https://magenta.tensorflow.org/blog/2016/11/01/multistyle-pastiche-generator/ OpenScore: digital sheet music to revive classical composersWhat if we could achieve the same with music?The first thing that you need to enable this, is music in a semantical data format. That’s one of the reasons why MuseScore is starting a campaign to digitise public domain music, including the works of the great classical composers like Mozart, Beethoven and Bach. This will be done with the help of people in the MuseScore community, who will take part in a huge crowdsourced effort to produce digital editions of this music. These digital scores can be fed to machine learning algorithms to train a musical brain capable of creating new melodies. The more data and the more training time are available, the better the result will be.W.A.I. Mozart The impact of this technology was demonstrated on the 13th of April at the Karajan Music Tech Conference in Salzburg. MuseScore’s demonstration, titled “Jam with Mozart”, is based on A.I. Duet and allows the user to play a piano duet with an artificial intelligence Mozart. The user plays a short melody on a piano, then the computer analyzes it and responds with a short musical phrase in the style of Mozart. The computer was connected to a Bösendorfer self-playing piano, so you could actually see the keys of a real piano moving as though the ghost of Mozart had returned to play them.Watch the quick demonstration below or try it yourself online! [Less]

It happened two weeks ago at the Karajan Classical Music Hack Day in Mozart’s hometown of Salzburg, Austria, where the MuseScore team decided to use technology to bring Mozart ‘back to life’. We made use of a Google technology called Magenta, based ... [More] on TensorFlow, which uses machine learning to create art. We used Magenta to train an artificial intelligence to play the piano in the style of Mozart, but to make this happen we needed lots of sheet music in a digital format.So, how does machine learning work? Let’s get into a little more into detail with an example of creating a picture. If you feed pictures of Monet’s painting into a machine learning algorithm, the algorithm will pick out the similarities and learn Monet’s unique artistic style. Once finished, the algorithm will be able to turn any random picture into something that looks like it was painted by the master himself. For example, a photograph of a dog can be stylized to look as though it were a painting by Claude Monet. Sounds simple, doesn’t it?Photo from https://magenta.tensorflow.org/blog/2016/11/01/multistyle-pastiche-generator/ OpenScore: digital sheet music to revive classical composersWhat if we could achieve the same with music?The first thing that you need to enable this, is music in a semantical data format. That’s one of the reasons why MuseScore is starting a campaign to digitise public domain music, including the works of the great classical composers like Mozart, Beethoven and Bach. This will be done with the help people in the MuseScore community, who will take part in a huge crowdsourced effort to produce digital editions of this music. These digital scores can be fed to machine learning algorithms to train a musical brain capable of creating new melodies. The more data and the more training time are available, the better the result will be.W.A.I. Mozart The impact of this technology was demonstrated on the 13th of April at the Karajan Music Tech Conference in Salzburg. MuseScore’s demonstration, titled “Jam with Mozart”, is based on A.I. Duet and allows the user to play a piano duet with an artificial intelligence Mozart. The user plays a short melody on a piano, then computer analyzes it and responds with a short musical phrase in the style of Mozart. The computer was connected to a Bösendorfer self-playing piano, so you could actually see the keys of a real piano moving as though the ghost of Mozart had returned to play them.Watch the quick demonstration below or try it yourself online! [Less]

It happened two weeks ago at the Karajan Classical Music Hack Day in Mozart’s hometown of Salzburg, Austria, where the MuseScore team decided to use technology to bring Mozart ‘back to life’. We made use of open-source technology developed by Google ... [More] called Magenta, based on TensorFlow, which uses machine learning to create art. We used Magenta to train an artificial intelligence to play the piano in the style of Mozart, but to make this happen we needed lots of sheet music in a digital format.So, how does machine learning work? Let’s get into a little more into detail with an example of creating a picture. If you feed pictures of Monet’s painting into a machine learning algorithm, the algorithm will pick out the similarities and learn Monet’s unique artistic style. Once finished, the algorithm will be able to turn any random picture into something that looks like it was painted by the master himself. For example, a photograph of a dog can be stylized to look as though it were a painting by Claude Monet. Sounds simple, doesn’t it?Photo from https://magenta.tensorflow.org/blog/2016/11/01/multistyle-pastiche-generator/ OpenScore: digital sheet music to revive classical composersWhat if we could achieve the same with music?The first thing that you need to enable this, is music in a semantical data format. That’s one of the reasons why MuseScore is starting a campaign to digitise public domain music, including the works of the great classical composers like Mozart, Beethoven and Bach. This will be done with the help of people in the MuseScore community, who will take part in a huge crowdsourced effort to produce digital editions of this music. These digital scores can be fed to machine learning algorithms to train a musical brain capable of creating new melodies. The more data and the more training time are available, the better the result will be.W.A.I. Mozart The impact of this technology was demonstrated on the 13th of April at the Karajan Music Tech Conference in Salzburg. MuseScore’s demonstration, titled “Jam with Mozart”, is based on A.I. Duet and allows the user to play a piano duet with an artificial intelligence Mozart. The user plays a short melody on a piano, then the computer analyzes it and responds with a short musical phrase in the style of Mozart. The computer was connected to a Bösendorfer self-playing piano, so you could actually see the keys of a real piano moving as though the ghost of Mozart had returned to play them.Watch the quick demonstration below or try it yourself online! [Less]

It happened two weeks ago at the Karajan Classical Music Hack Day in Mozart’s hometown of Salzburg, Austria, where the MuseScore team decided to use technology to bring Mozart ‘back to life’. We made use of open-source technology developed by Google ... [More] called Magenta, based on TensorFlow, which uses machine learning to create art. We used Magenta to train an artificial intelligence to play the piano in the style of Mozart, but to make this happen we needed lots of sheet music in a digital format.So, how does machine learning work? Let’s get into a little more into detail with an example of creating a picture. If you feed pictures of Monet’s painting into a machine learning algorithm, the algorithm will pick out the similarities and learn Monet’s unique artistic style. Once finished, the algorithm will be able to turn any random picture into something that looks like it was painted by the master himself. For example, a photograph of a dog can be stylized to look as though it were a painting by Claude Monet. Sounds simple, doesn’t it?Photo from https://magenta.tensorflow.org/blog/2016/11/01/multistyle-pastiche-generator/ OpenScore: digital sheet music to revive classical composersWhat if we could achieve the same with music?The first thing that you need to enable this, is music in a semantical data format. That’s one of the reasons why MuseScore is starting a campaign to digitise public domain music, including the works of the great classical composers like Mozart, Beethoven and Bach. This will be done with the help of people in the MuseScore community, who will take part in a huge crowdsourced effort to produce digital editions of this music. These digital scores can be fed to machine learning algorithms to train a musical brain capable of creating new melodies. The more data and the more training time are available, the better the result will be.W.A.I. Mozart The impact of this technology was demonstrated on the 13th of April at the Karajan Music Tech Conference in Salzburg. MuseScore’s demonstration, titled “Jam with Mozart”, is based on A.I. Duet and allows the user to play a piano duet with an artificial intelligence Mozart. The user plays a short melody on a piano, then the computer analyzes it and responds with a short musical phrase in the style of Mozart. The computer was connected to a Bösendorfer self-playing piano, so you could actually see the keys of a real piano moving as though the ghost of Mozart had returned to play them.Watch the quick demonstration below or try it yourself online! [Less]

It happened two weeks ago at the Karajan Classical Music Hack Day in Mozart’s hometown of Salzburg, Austria, where the MuseScore team decided to use technology to bring Mozart ‘back to life’. We made use of open-source technology developed by Google ... [More] called Magenta, based on TensorFlow, which uses machine learning to create art. We used Magenta to train an artificial intelligence to play the piano in the style of Mozart, but to make this happen we needed lots of sheet music in a digital format.So, how does machine learning work? Let’s get into a little more into detail with an example of creating a picture. If you feed pictures of Monet’s painting into a machine learning algorithm, the algorithm will pick out the similarities and learn Monet’s unique artistic style. Once finished, the algorithm will be able to turn any random picture into something that looks like it was painted by the master himself. For example, a photograph of a dog can be stylized to look as though it were a painting by Claude Monet. Sounds simple, doesn’t it?Photo from https://magenta.tensorflow.org/blog/2016/11/01/multistyle-pastiche-generator/ OpenScore: digital sheet music to revive classical composersWhat if we could achieve the same with music?The first thing that you need to enable this, is music in a semantical data format. That’s one of the reasons why MuseScore is starting a campaign to digitise public domain music, including the works of the great classical composers like Mozart, Beethoven and Bach. This will be done with the help of people in the MuseScore community, who will take part in a huge crowdsourced effort to produce digital editions of this music. These digital scores can be fed to machine learning algorithms to train a musical brain capable of creating new melodies. The more data and the more training time are available, the better the result will be.W.A.I. Mozart The impact of this technology was demonstrated on the 13th of April at the Karajan Music Tech Conference in Salzburg. MuseScore’s demonstration, titled “Jam with Mozart”, is based on A.I. Duet and allows the user to play a piano duet with an artificial intelligence Mozart. The user plays a short melody on a piano, then the computer analyzes it and responds with a short musical phrase in the style of Mozart. The computer was connected to a Bösendorfer self-playing piano, so you could actually see the keys of a real piano moving as though the ghost of Mozart had returned to play them.Watch the quick demonstration below or try it yourself online! [Less]

Welcome to April’s edition of “MuseScorer of the month.” This is your chance to get to know one of MuseScore.com’s many brilliant members each month of the year. We’re featuring a wide variety of composers and types of music in this series; last ... [More] month, we introduced you to MuseScorer Arthur Breur. This month, meet an anonymous girl whose internet alias is Neb Adams, aka TheNightreader! How did you discover MuseScore? I joined MuseScore after discovering I could actually write music. I first used an older notation software, Forte, but you had to click and drag every single note from a bar and onto the page, and you had to pay $300 or more for what MuseScore lets you have for free. When looking for better software, I found MuseScore, and stuck with it, taking inspiration from MollyMawk and some lesser known composers—edwardxie and MysticWolf. What motivates you to compose? Some of my songs, like Free or Left Behind, are written for people who need the songs—I spend a lot of my time online talking to other teenagers with depression, and I know people both in real life and online who I write these songs for. Most of my lyrics are written to inspire and encourage others. And possibly myself. If you look around at all the famous musicians, dancers, composers like Beethoven, Schumann or Tchaikovsky, artists like Van Gogh—anyone who has impacted the world with their art has either had a really hard life, or depression. And looking around at the youth on MuseScore—kids and teens my age—many of them have or have had depression also. And that includes myself in the “had” category. And so although I can’t be there in person I can talk to them and write songs for them online. ^-^ What is your typical composing workflow like? I often compose right when inspiration strikes (generally in the form of a chord progression or one of my friends or music students playing some random notes on a piano)—or I get my music students to make up chord progressions. My song styles change all the time, depending on what I’m experimenting with, like at the end of 2015 when I wrote some pieces for 2015: The Musical (unfinished), or when I made quite a few songs with lyrics at once. What have you shared on MuseScore.com that you’re most proud of? The songs I’m most proud of would be Free and Dimensions (and possibly Death by Harpsichord). These songs were ones I experimented with and I feel I succeeded with them. They’re also more popular than I thought they would ever be. (You can be) Free by TheNightreader Watch for our next MuseScorer of the month in May! [Less]

Welcome to April’s edition of “MuseScorer of the month.” This is your chance to get to know one of MuseScore.com’s many brilliant members each month. We’re featuring a wide variety of composers and types of music in this series; last month, we ... [More] introduced you to MuseScorer Arthur Breur. This month, meet an anonymous girl whose internet alias is Neb Adams, aka TheNightreader! How did you discover MuseScore? I joined MuseScore after discovering I could actually write music. I first used an older notation software, Forte, but you had to click and drag every single note from a bar and onto the page, and you had to pay $300 or more for what MuseScore lets you have for free. When looking for better software, I found MuseScore, and stuck with it, taking inspiration from MollyMawk and some lesser known composers—edwardxie and MysticWolf. What motivates you to compose? Some of my songs, like Free or Left Behind, are written for people who need the songs—I spend a lot of my time online talking to other teenagers with depression, and I know people both in real life and online who I write these songs for. Most of my lyrics are written to inspire and encourage others. And possibly myself. If you look around at all the famous musicians, dancers, composers like Beethoven, Schumann or Tchaikovsky, artists like Van Gogh—anyone who has impacted the world with their art has either had a really hard life, or depression. And looking around at the youth on MuseScore—kids and teens my age—many of them have or have had depression also. And that includes myself in the “had” category. And so although I can’t be there in person I can talk to them and write songs for them online. ^-^ What is your typical composing workflow like? I often compose right when inspiration strikes (generally in the form of a chord progression or one of my friends or music students playing some random notes on a piano)—or I get my music students to make up chord progressions. My song styles change all the time, depending on what I’m experimenting with, like at the end of 2015 when I wrote some pieces for 2015: The Musical (unfinished), or when I made quite a few songs with lyrics at once. What have you shared on MuseScore.com that you’re most proud of? The songs I’m most proud of would be Free and Dimensions (and possibly Death by Harpsichord). These songs were ones I experimented with and I feel I succeeded with them. They’re also more popular than I thought they would ever be. (You can be) Free by TheNightreader Watch for our next MuseScorer of the month in May! [Less]

Welcome to April’s edition of “MuseScorer of the month.” This is your chance to get to know one of MuseScore.com’s many brilliant members each month of the year. We’re featuring a wide variety of composers and types of music in this series; last ... [More] month, we introduced you to MuseScorer Arthur Breur. This month, meet an anonymous girl whose internet alias is Neb Adams, aka TheNightreader! How did you discover MuseScore? I joined MuseScore after discovering I could actually write music. I first used an older notation software, Forte, but you had to click and drag every single note from a bar and onto the page, and you had to pay $300 or more for what MuseScore lets you have for free. When looking for better software, I found MuseScore, and stuck with it, taking inspiration from MollyMawk and some lesser known composers—edwardxie and MysticWolf. What motivates you to compose? Some of my songs, like Free or Left Behind, are written for people who need the songs—I spend a lot of my time online talking to other teenagers with depression, and I know people both in real life and online who I write these songs for. Most of my lyrics are written to inspire and encourage others. And possibly myself. If you look around at all the famous musicians, dancers, composers like Beethoven, Schumann or Tchaikovsky, artists like Van Gogh—anyone who has impacted the world with their art has either had a really hard life, or depression. And looking around at the youth on MuseScore—kids and teens my age—many of them have or have had depression also. And that includes myself in the “had” category. And so although I can’t be there in person I can talk to them and write songs for them online. ^-^ What is your typical composing workflow like? I often compose right when inspiration strikes (generally in the form of a chord progression or one of my friends or music students playing some random notes on a piano)—or I get my music students to make up chord progressions. My song styles change all the time, depending on what I’m experimenting with, like at the end of 2015 when I wrote some pieces for 2015: The Musical (unfinished), or when I made quite a few songs with lyrics at once. What have you shared on MuseScore.com that you’re most proud of? The songs I’m most proud of would be Free and Dimensions (and possibly Death by Harpsichord). These songs were ones I experimented with and I feel I succeeded with them. They’re also more popular than I thought they would ever be. (You can be) Free by TheNightreader Watch for our next MuseScorer of the month in May! [Less]

Welcome to April’s edition of “MuseScorer of the month.” This is your chance to get to know one of MuseScore.com’s many brilliant members each month. We’re featuring a wide variety of composers and types of music in this series; last month, we ... [More] introduced you to MuseScorer Arthur Breur. This month, meet an anonymous girl whose internet alias is Neb Adams, aka TheNightreader! How did you discover MuseScore? I joined MuseScore after discovering I could actually write music. I first used an older notation software, Forte, but you had to click and drag every single note from a bar and onto the page, and you had to pay $300 or more for what MuseScore lets you have for free. When looking for better software, I found MuseScore, and stuck with it, taking inspiration from MollyMawk and some lesser known composers—edwardxie and MysticWolf. What motivates you to compose? Some of my songs, like Free or Left Behind, are written for people who need the songs—I spend a lot of my time online talking to other teenagers with depression, and I know people both in real life and online who I write these songs for. Most of my lyrics are written to inspire and encourage others. And possibly myself. If you look around at all the famous musicians, dancers, composers like Beethoven, Schumann or Tchaikovsky, artists like Van Gogh—anyone who has impacted the world with their art has either had a really hard life, or depression. And looking around at the youth on MuseScore—kids and teens my age—many of them have or have had depression also. And that includes myself in the “had” category. And so although I can’t be there in person I can talk to them and write songs for them online. ^-^ What is your typical composing workflow like? I often compose right when inspiration strikes (generally in the form of a chord progression or one of my friends or music students playing some random notes on a piano)—or I get my music students to make up chord progressions. My song styles change all the time, depending on what I’m experimenting with, like at the end of 2015 when I wrote some pieces for 2015: The Musical (unfinished), or when I made quite a few songs with lyrics at once. What have you shared on MuseScore.com that you’re most proud of? The songs I’m most proud of would be Free and Dimensions (and possibly Death by Harpsichord). These songs were ones I experimented with and I feel I succeeded with them. They’re also more popular than I thought they would ever be. (You can be) Free by TheNightreader Watch for our next MuseScorer of the month in May! [Less]