Adaptive Background Music for a Fighting Game: A Multi-Instrument Volume Modulation Approach
This is an incremental improvement for game audio design, specifically targeting fighting games to enhance AI performance.
The paper tackled enhancing background music in a fighting game by making it adaptive through multi-instrument volume modulation, resulting in improved performance of a deep reinforcement learning AI that uses only audio input.
This paper presents our work to enhance the background music (BGM) in DareFightingICE by adding an adaptive BGM. The adaptive BGM consists of five different instruments playing a classical music piece called "Air on G-String." The BGM adapts by changing the volume of the instruments. Each instrument is connected to a different element of the game. We then run experiments to evaluate the adaptive BGM by using a deep reinforcement learning AI that only uses audio as input (Blind DL AI). The results show that the performance of the Blind DL AI improves while playing with the adaptive BGM as compared to playing without the adaptive BGM.