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You can now customize Siri’s pace and expressivity in the latest iOS 27 beta

Our take

The latest iOS 27 beta introduces a significant upgrade to Siri, now allowing users to customize the assistant’s speaking pace and expressivity. This marks a key step in Apple's ongoing effort to create a more natural and personalized Siri experience, as the company rebuilds the assistant leveraging generative AI. Discover a more tailored interaction—adjust Siri to match your preferences and workflow.
You can now customize Siri’s pace and expressivity in the latest iOS 27 beta

The subtle shift Apple is introducing with customizable Siri voice characteristics – pace and expressivity – represents a far more significant development than it initially appears. While seemingly a minor tweak within the iOS 27 beta, it’s a tangible signpost on the road to a genuinely more human-feeling AI assistant. Apple’s commitment to rebuilding Siri around generative AI isn't just about adding new capabilities; it’s about fundamentally rethinking how users interact with AI, moving away from rigid, pre-programmed responses towards a more fluid and personalized experience. This echoes conversations happening across the AI landscape, as explored in Vercel CEO Guillermo Rauch on the fight to split off models from agents, where the tension between optimizing for performance and maintaining a natural, human-like interaction is central to the debate. The ability to subtly adjust Siri’s delivery, even if currently limited to pace and expressivity, acknowledges that the *how* of communication is just as important as the *what*.

The current focus on customization, even in its nascent form, is a strategic move. Apple has always prioritized user experience and design, and this extends to their AI assistants. A robotic, monotone voice, no matter how intelligent the underlying AI, can be jarring and ultimately detract from usability. Allowing users a degree of control over Siri’s personality—however slight—aligns with Apple’s broader ecosystem philosophy of personalization and intuitive design. It’s a recognition that AI isn’t meant to be a black box, but a collaborative tool that adapts to individual preferences. Consider the recent demonstration of AI’s potential for misuse, as detailed in The ‘first’ AI-run ransomware attack still needed a human; even in malicious applications, the human element remains critical, highlighting the importance of nuanced control and oversight. The move towards customizable voices subtly reinforces the idea that AI, even in assistants, should be guided and shaped by human intention. It’s a small step, but one that suggests a deeper commitment to responsible and user-centric AI development.

This shift also has implications for how we think about AI training data and model development. Fine-tuning language models to produce a range of vocal styles, each with varying degrees of expressivity, requires vastly more sophisticated datasets and algorithms than traditional text-to-speech synthesis. It’s not simply about generating words; it’s about conveying emotion and personality through vocal nuance. The technical challenges inherent in this process are considerable, demonstrating that Apple is investing heavily in the underlying AI infrastructure. Moreover, the success of this feature will likely hinge on user feedback – iterative adjustments based on how people actually utilize the customization options. This iterative approach mirrors the ongoing discussions around data encoding strategies, as seen in [How should I encode both target and feature variable for a multiclass classification? [D]]( /post/how-should-i-encode-both-target-and-feature-variable-for-a-m-cmr9vvry8035pkwjwn7bc9cot); the success of AI systems, even seemingly simple ones like voice assistants, depends on carefully considered data preparation and model optimization.

Ultimately, Apple's move towards customizable Siri voices is a glimpse into a future where AI assistants are not just intelligent but also genuinely personable. While generative AI promises a revolution in AI capabilities, the true test will be whether it can seamlessly integrate into our daily lives, enhancing our productivity and experiences without feeling intrusive or alienating. The question now becomes: how far will Apple – and other AI developers – go in allowing users to personalize their AI companions? Will we eventually be able to select voices, accents, and even personality traits that truly reflect our individual preferences, blurring the lines between digital assistants and virtual companions?

The update is part of Apple's broader effort to make Siri feel more natural and personal, as it rebuilds the assistant around generative AI.

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