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WEDHIA 2020 P2

WEDHIA Panel Session 2

International Workshop of Education on Digital Humanities Innovative Application (WEDHIA) in the Big Data Era

panel session P2

  • date: 2020-12-10 Thursday

  • time: 15:30–17:10

  • session title: Music Education, Computing, and Research in the New Digital Age

  • moderator

    • (陳恒佑)Herng-Yow Chen, National Chi Nan University (NCNU)

  • panelists

    • (蘇郁惠)Yu-Huei Su, Department of Music, National Tsing Hua University (NTHU)

    • (蘇黎)Li Su, Institute of Information Science, Academia Sinica

    • (黃郁芬)Yu-Fen Huang, Institute of Information Science, Academia Sinica

    • (林欣名)Hsin-Ming Lin, Executive Master of Arts Administration (EMAA), Tainan National University of the Arts (TNNUA)

      • title: Musical Talent Cultivation of Data Science

      • handout: https://bit.ly/20201210nccu

rationale

道術將為天下裂《莊子.雜篇.天下》

push a little towards each other for interdisciplinary study

  • interesting courses: music in EE and CS

    • Music Signal Analysis and Retrieval, Graduate Institute of Networking and Multimedia, NTU

    • Music Information Retrieval, Department of Computer Science, NTHU

    • Introduction to Artificial Intelligence and Music, Institute of Information Systems and Applications, NTHU

    • Analysis of Digital Music Signal, Department of Computer Science and Information Engineering, NCKU

    • Music Programming, Department of Computer Science and Information Engineering, NCNU

  • my courses: STEM in music and arts

    • Basic Statistics, Department of Applied Music, TNNUA

    • Music Data Science (1) & (2), Department of Applied Music, TNNUA

    • Introduction to Data Science, Executive Master of Arts Administration, TNNUA

    • Modern Development of Music Technology. Center of General Education, TNNUA

music data science

workflow

  1. upstream

    • music theory

    • data science theory

  2. midstream

    • expert annotations

    • programming

    • data mining and knowledge discovery

    • machine learning

  3. downstream

    • AI services and products

    • AI-assisted works

      • composition

      • improvisation

      • mixing and mastering (Intelligent Music Production)

music AIs

  • Ampai Music

  • Amper Music

  • AIVA (Artificial Intelligence Virtual Artist)

  • Google Doodle (2019-03-21)

  • Humtap

  • Jukedeck

  • Letron Music

  • Loudly Music AI

  • MusicAutobot MIDI Generator

  • Orb Composer

  • OpenAI

    • MuseNet (2019)

    • Jukebox (2020)

  • Sony CSL Flow Machines

  • Taiwan AI Labs (slides)

    • Android:雅婷鋼琴師

    • iOS:雅婷漫伴拍

https://magenta.tensorflow.org/aisongcontest

discussion

questions

  • student's interest and need

  • course to offer

  • research to conduct or collaborate

students' presentations

在利⽤圖表分析的過稱中,我有一點恍然⼤悟,發現⽤電腦分析⾳樂並不是我之前想的那麼沒用。回想起之前上的樂曲分析課,我們也是無所不⽤其極,將⾳樂的內容全盤進行剖析、定義、分類並解釋,有時候分析到最後,其實已經和感性的⾼層⾳樂層次相差甚遠;⽽是要處理這些最基礎的⾳符的排列邏輯。因此,我覺得利用電腦輔助分析⾳樂,雖然對現階段的我來說不是必要,但若可以利用它,不但可以做一些數據上的精確佐證,更可以是一種幫助我思考的⼯具。因為當我看著那些圖表,然後問為什麼是這樣時,我也從尋求解答的過程中學到了一些東西。


這次整個過程,從在Aiva上⽣成樂曲,⼀直到我在Logic Pro X上完成編排,共花了⼀小時。就樂曲結構來看,雖然它不特別有趣,但也不會令⼈過於無聊,因為它有三個主要的樂句互相穿插出現,並且在樂曲後半時,還在主奏樂器出現了一個類似⾼潮的都是16分⾳音符的段落(雖然出現得有點早)。⽽且它也常將第⼀個出現的旋律律和第二個同時演奏,形成同時擁有主旋律和副旋律的效果,增加⾳樂豐富度。因此我主要的修正即是修改樂器⾳色,並將無必要的聲部刪除,希望能將⾳色的不同搭配結構組織安排的變化,讓全曲更有趣。

guest lecturer's external course for children

Thank you!

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