AutoRhythm: A Music Game With Automatic Hit-Timing Generation and Percussion Identification
| Autor: | Tzu-Chun Yeh, Jyh-Shing Roger Jang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
Speech recognition Frame (networking) Cognitive neuroscience of visual object recognition Percussion Object (computer science) Identification (information) Rhythm Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Set (psychology) Software Test data |
| Zdroj: | IEEE Transactions on Games. 12:291-301 |
| ISSN: | 2475-1510 2475-1502 |
| DOI: | 10.1109/tg.2019.2936033 |
| Popis: | This article describes a music rhythm game called AutoRhythm , which can automatically generate the hit timing as game contents from a given piece of music, and identify user-defined percussion of real objects in real time for gameplay. More specifically, AutoRhythm can generate the hit timing of a piece of music based on onset detection, so the user can use any music from their own collection for the rhythm game. Moreover, to make the game more realistic, AutoRhythm also allows the user to interact with the game via any object that can produce percussion sounds, such as a pen or a chopstick hitting against a table. AutoRhythm can identify the percussions in real time to replace tapping on the screen. This real-time user percussion identification is achieved based on the frame-based power spectrum of the filtered recording after background music reduction, which is performed based on the concept of active noise cancellation, with the estimated noisy playback music being subtracted from the original recording. Based on a test data set of 100 recordings, our experiment indicates that our system can achieve an F -measure of 78.22%, which outperforms other well-known classifiers and is quite satisfactory for the purpose of gameplay. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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