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Coursera Survey of Music Technology

Discussion in 'Video Tutorials' started by Bo0mB0om, Feb 26, 2015.

  1. Bo0mB0om
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    Coursera Survey of Music Technology | 907 Mb
    Genre: eLearning


    How can we use computers to create expressive, compelling music? And how can we write computer software to help us create and organize sounds in new ways? This course provides a hands-on introduction to the field of music technology as both a creative musical practice and an interdisciplinary technical research pursuit. Through the exploration of topics such as acoustics, psychoacoustics, digital sound, digital signal processing, audio synthesis, spectral analysis, algorithmic composition, and music information retrieval, we will explore the deep relationships between art and science, between theory and practice, and between experimental and popular electronic music.

    We will learn about these topics in the context of digital audio workstation (DAW) software, the multi-track editing paradigm that has been dominant in music production since the 1980s. As we learn about the foundations behind such software, we will use this knowledge to more effectively create music with it, and we will also write a series of short software programs that extend the software's ability to manipulate, transform, and analyze sound.

    Module 1: The Basics of Sound
    acoustics, psychoacoustics, tiMbre, digital representation of sound, spectral representation of sound

    Module 2: Digital Audio Workstations
    DAW history and key features, music representation, recording and editing audio in a DAW, effects and automations, aesthetic context

    Module 3: Working with MIDI
    MIDI specification (history, structure, limitations), real and virtual MIDI devices, MIDI sequencing in the DAW

    Module 4: Algorithmic Composition: Basic Techniques
    basics of Python programming and the EarSketch API, history and practice of algorithmic composition

    Module 5: Algorithmic Composition: Advanced
    advanced topics in algorithmic programming for music including stochastic composition, chance music, process music, and modeling

    Module 6: Future directions
    music information retrieval, live coding, machine musicianship, new musical interfaces, mobile music, networked music
    DOWNLOAD

    Code:
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