AI in Gaming: 5 Ways Machine Learning Will Change the Industry

AI in Gaming: 5 Ways Machine Learning Will Change the Industry

With rampant developments in computer vision technology, there are many ways that machine learning is being used in the video game industry, especially in virtual reality. Developments in VR games are quickly changing the way we game and the way we socialize. It wouldn’t be much of a stretch to say that VR is the future of gaming.

With rampant developments in computer vision technology, there are many ways that machine learning is being used in the video game industry, especially in virtual reality. Developments in VR games are quickly changing the way we game and the way we socialize. It wouldn’t be much of a stretch to say that VR is the future of gaming.

At the same time, if you’re a fan of classic console games, there are numerous ways that AI can make the console games we love even more interactive and immersive. In this article, we will give five predictions for the future of AI in gaming and how developments in machine learning can help developers build better games.

*Note: *This article is a collaborative effort between Limarc Ambalina and Boon Tan (McIntire, UVA). Sections 1 to 4 were written by myself (Limarc), while section 5 and the accompanying research was provided by Boon.

1. Text-to-Speech (TTS) and Synthetic Voices Will Help Developers Create Spoken Dialogue

A big area of game development that takes a lot of time and effort is voice recording for spoken dialogue. Game devs have to hold auditions for voice actors, record scenes, and process the audio. Some game devs even go the extra mile to include voice acting in multiple languages, which takes an exorbitant amount of time. Personally, I love voice acting in video games and real human actors give the game a personal touch that really resonates. However, not all development studios have the budget to hire voice actors.

For indie developers, there wasn’t really an easy option for them to get spoken dialogue into games on a large scale, until now. Luckily, a synthetic voice company called Replica Studios may have created the perfect solution. In a nutshell, Replica Studios uses sophisticated neural networks that are trained to mimic human voices. On the front end, you can simply type in the text you want the synthetic voice to say and even include an emotion for how the text is performed.

machine-learning artificial-intelligence technology videogames games gaming-industry game-development hackernoon-top-story

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