Abstract
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.
| Translated title of the contribution | Note recognition-based mobile application for guitar training |
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| Original language | Turkish |
| Title of host publication | 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781509064946 |
| DOIs | |
| Publication status | Published - 27 Jun 2017 |
| Event | 25th Signal Processing and Communications Applications Conference, SIU 2017 - Antalya, Turkey Duration: 15 May 2017 → 18 May 2017 |
Publication series
| Name | 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 |
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Conference
| Conference | 25th Signal Processing and Communications Applications Conference, SIU 2017 |
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| Country/Territory | Turkey |
| City | Antalya |
| Period | 15/05/17 → 18/05/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.