Impact of AI-assisted music classification in video games for sustaining effectiveness

Artificial intelligence (AI) and machine learning (ML) applications are being used in every aspect of life as information technology develops and advances. Music is one of these applications that has gotten a lot of attention in the previous several years. AI-based creative and clever solutions have altered the music industry. These technologies make it incredibly easy for composers to create high-quality music. Artificial intelligence and music (AIM) is a new field that is being utilized to create and manage sounds for a variety of media, including the Internet, video games, and so on. Sounds in games are incredibly effective and can be made even more appealing with the use of AI techniques. The quality of the game's noises has a direct impact on the player's productivity and enjoyment. Game designers can use computer-assisted technologies to create sounds for various scenarios or situations in a game, such as horror, suspense, and conveying information to the player. A game's useful and effective audio can assist visually challenged players during various game events. A high level of musicology knowledge is required for better music creation and composition. AIM has made a variety of sophisticated and interactive tools available for efficient and effective music learning. The goal of this work is to provide a comprehensive assessment of the literature on AI-assisted music classification in video games. The study exhibited literature analysis from a variety of viewpoints, which will be used by researchers to develop new solutions in the sector.