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Gitar Eǧitimi Için Nota Tanima Tabanli Bir Mobil Uygulama

  • Meric Turan*
  • , Caggatay Demirel
  • , Gokhan Ince
  • *Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

Özet

In our study, a mobile application is developed which is able to capture the guitar sounds played in real time and detect notes using signal processing techniques. In this application, user's performance is evaluated by comparing the played and the expected notes for any chosen song. Additionally, songs can be prepared manually within the application or automatically by transforming guitar notes provided by Musical Intrument Digital Interface (MIDI) files into guitar tabs. Our application is tested with different users and difficulty levels, and effectiveness of the application is verified.

Tercüme edilen katkı başlığıNote recognition-based mobile application for guitar training
Orijinal dilTürkçe
Ana bilgisayar yayını başlığı2017 25th Signal Processing and Communications Applications Conference, SIU 2017
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9781509064946
DOI'lar
Yayın durumuYayınlandı - 27 Haz 2017
Etkinlik25th Signal Processing and Communications Applications Conference, SIU 2017 - Antalya, Turkey
Süre: 15 May 201718 May 2017

Yayın serisi

Adı2017 25th Signal Processing and Communications Applications Conference, SIU 2017

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???event.eventtypes.event.conference???25th Signal Processing and Communications Applications Conference, SIU 2017
Ülke/BölgeTurkey
ŞehirAntalya
Periyot15/05/1718/05/17

Bibliyografik not

Publisher Copyright:
© 2017 IEEE.

Keywords

  • audio processing
  • mobile application
  • note recognition

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