Level Up: Achieving Higher Quality
AI-enabled voice cloning that preserves emotional intonation are creating more realistic and contextually appropriate voiceovers than ever before. These tools can synthesize voices that match the original characters’ tones and emotions, ensuring that the voice acting remains consistent and engaging across different languages.
Dubbing tools are using AI to synchronize character lip movements with the translated speech. These dubbing solutions can handle complex dialogues and nuanced emotions, making the localized versions of games as compelling as the original, while also enhancing player immersion and accelerating localization.
Beyond speech, improvements in context-aware translation — where advanced AI models understand and translate game content by considering the broader narrative and dialogue context — is reducing the risk of mistranslations that can break immersion and disrupt the player experience.
Finally, AI can allow for more and better non-player characters (NPCs) in a game, which improves player satisfaction by making the game environment more immersive. According to a recent survey by Inworld AI, 99% of gamers believe that AI-based NPCs would improve some aspect of gameplay, 78% of gamers would spend more time playing games with AI NPCs, and 81% of gamers would pay extra for games featuring AI NPCs.
Player One: Keeping Humans in the Loop
Even with the impressive strides AI is making, the human touch remains an indispensable part of game localization. While AI can easily handle some tasks, it often misses the subtle nuances that make a game feel authentic. Human linguists catch the little things AI might miss, making sure the game’s story and characters feel real and engaging in every language.
Moreover, AI models like ChatGPT are trained on vast amounts of data that often include cultural biases and are heavily English-centric. Without human oversight, these biases and other inaccurate information may slip through, creating games that could unintentionally offend or misrepresent.