VMT Introduction

Hello everyone! We are Lichen Zha and Niklas Björklund, 2 master students in electronic engineering at Group T (KU Leuven). Both of us are passionate about music. After years of learning and gaining experience in music, we are now curious about the education process of music, especially music instruments. We are eager to find ways to help beginners to step into the music world more easily and to help musicians of all levels to improve their skills.

For our master’s thesis we will therefore develop a “Virtual Music Teacher” (VMT). Basically this is a tool that analyses a piece of music played by the student and compares it with a previously input MIDI file, providing the student with useful feedback.

This concept isn’t 100% new; applications and games to improve a musician’s skill exist already, but our aim is to take it a step further and make the learning process as efficient and as pleasant as possible.

We also want your voice on the articles and issues that we will present to you via this blog. Your opinion is very important for us to draw inspiration from and to have crazy ideas. So feel free to leave comments! 🙂

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6 Responses to VMT Introduction

  1. Oleg says:

    Crazy ideas, you say… I bless you on that! 😀

  2. bethesuit says:

    Awesome, I definitely want to play with this when it’s finished 😉

  3. Lu Hongyang says:

    The idea is brilliant and I look forward to using it as soon as possible. This is a fantastic combination of science and art.
    And here are my questions. According to the basic idea, the VMT has to record what the players do. So what kinds of instruments that VMT can recognizes? Since the music tool is sensitive to noise, how can VMT deal with noises?

    • Thank you for your thoughts!
      The ideal goal would be that it shouldn’t really matter which instrument is used, but since sound signals from various instruments will have different characteristics, we will first focus on processing the sound from a piano/keyboard. In the future we will expand this and test it with more instruments!
      Your question about noise is a bit more technical. Depending on the sources of the noise we will need to find different ways to reduce it as much as possible. We still have to do a lot of research about this, but it is clear that we will need to find a good way to analyze the useful part of the signal.

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