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 başlığı | Note recognition-based mobile application for guitar training |
|---|---|
| Orijinal dil | Türkçe |
| Ana bilgisayar yayını başlığı | 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 |
| Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Elektronik) | 9781509064946 |
| DOI'lar | |
| Yayın durumu | Yayınlandı - 27 Haz 2017 |
| Etkinlik | 25th Signal Processing and Communications Applications Conference, SIU 2017 - Antalya, Turkey Süre: 15 May 2017 → 18 May 2017 |
Yayın serisi
| Adı | 2017 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/Bölge | Turkey |
| Şehir | Antalya |
| Periyot | 15/05/17 → 18/05/17 |
Bibliyografik not
Publisher Copyright:© 2017 IEEE.
Keywords
- audio processing
- mobile application
- note recognition
Parmak izi
Gitar Eǧitimi Için Nota Tanima Tabanli Bir Mobil Uygulama' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.Alıntı Yap
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