3 ways Azure Speech transforms game development with AI

With Azure Cognitive Services for Speech, customers can build voice-enabled apps confidently and quickly with the Speech SDK. We make it easy for customers to transcribe speech to text (STT) with high accuracy, produce natural-sounding text-to-speech (TTS) voices, and translate spoken audio. In the past few years, we have been inspired by the innovations coming out of the gaming industry, specific to AI.


Why AI for gaming?

AI in gaming allows for flexible and reactive video game experiences. As technology continues to change and evolve, AI innovation has led to pioneering and tremendous advances in the gaming industry. Here are three popular use cases.

Use Cases for AI Gaming

1、Game dialogue prototyping with text to speech

Shorten the amount of time and money spent on the product to get the game to market sooner. Designers and producers can rapidly swap lines of dialogue using different emotional voices and listen to variations in real-time to ensure accuracy.

2、Greater accessibility with transcription, translation, and text to speech

Make gaming more accessible and add functionality through a single interface. Gameplay instructions that make games more accessible to individuals unable to read the text or language. Storylines for visually impaired gamers or younger users that have yet to be taught to read.

3、Scalable non-playable character voices and interaction with text to speech

Easily produce voice characters that stay on-brand with consistent quality and speaking styles. Game developers can add emotions, accents, nuances, laughter, and other paralinguistic sounds and expressions to game avatars and NPCs (non-playable characters) that can initiate or participate in a conversation in-game.

Speech Services and Responsible AI

We are excited about the future of Azure Speech with human-like, diverse, and delightful quality under the high-level architecture of XYZ-code AI framework. Our technology advancements are also guided by Microsoft’s Responsible AI process, and our principles of fairness, inclusiveness, reliability and safety, transparency, privacy and security, and accountability. We put these ethical standards into practice through the Office of Responsible AI (ORA)—which sets our rules and governance processes, the AI Ethics and Effects in Engineering and Research (Aether) Committee—which advises our leadership on the challenges and opportunities presented by AI innovations, and Responsible AI Strategy in Engineering (RAISE)—a team that enables the implementation of Microsoft Responsible AI rules across engineering groups.


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