What are the related videos for speech recogniton
Generated on 3/22/2025
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For topics related to speech recognition at WWDC, you can explore the following sessions:
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Explore machine learning on Apple platforms: This session discusses various machine learning capabilities on Apple platforms, including APIs for natural language processing and speech understanding. It highlights the use of these APIs for converting speech to text and analyzing sounds. You can find more about this in the ML-powered APIs chapter.
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Optimize for the spatial web: This session covers the use of the web speech API, which allows for real-time voice input and speech recognition on the web. It explains how to use speech recognition as a separate input channel without needing to tap or click, which is particularly useful for interactive applications. You can learn more in the Interaction chapter.
These sessions provide insights into how speech recognition can be integrated into apps and web experiences on Apple platforms.
Optimize for the spatial web
Discover how to make the most of visionOS capabilities on the web. Explore recent updates like improvements to selection highlighting, and the ability to present spatial photos and panorama images in fullscreen. Learn to take advantage of existing web standards for dictation and text-to-speech with WebSpeech, spatial soundscapes with WebAudio, and immersive experiences with WebXR.
Accelerate machine learning with Metal
Learn how to accelerate your machine learning transformer models with new features in Metal Performance Shaders Graph. We’ll also cover how to improve your model’s compute bandwidth and quality, and visualize it in the all new MPSGraph viewer.
Platforms State of the Union
Discover the newest advancements on Apple platforms.
Bring your app to Siri
Learn how to use App Intents to expose your app’s functionality to Siri. Understand which intents are already available for your use, and how to create custom intents to integrate actions from your app into the system. We’ll also cover what metadata to provide, making your entities searchable via Spotlight, annotating onscreen references, and much more.
Discover Swift enhancements in the Vision framework
The Vision Framework API has been redesigned to leverage modern Swift features like concurrency, making it easier and faster to integrate a wide array of Vision algorithms into your app. We’ll tour the updated API and share sample code, along with best practices, to help you get the benefits of this framework with less coding effort. We’ll also demonstrate two new features: image aesthetics and holistic body pose.
What’s new in DockKit
Discover how intelligent tracking in DockKit allows for smoother transitions between subjects. We will cover what intelligent tracking is, how it uses an ML model to select and track subjects, and how you can use it in your app.
Explore machine learning on Apple platforms
Get started with an overview of machine learning frameworks on Apple platforms. Whether you’re implementing your first ML model, or an ML expert, we’ll offer guidance to help you select the right framework for your app’s needs.