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How will your smart glasses perform outside the lab? Join our webinar, Engineering Smart Glasses Audio for the Real World, on 5 November. We’ll walk through how Treble helps teams model devices and wearers, generate acoustic data for AI training, and evaluate audio performance across realistic speech and noise conditions. See how to find performance gaps and expand coverage with less reliance on physical recording campaigns. With Finnur Pind, Jesper Pedersen, Jóhannes Fannar Einarsson and Daniel Gert Nielsen Two sessions available: Europe: 2 PM UTC / 3 PM CET USA: 9 AM PST / 12 PM EST Register here: https://lnkd.in/d2qxMfby #SmartGlasses #AudioEngineering #AcousticSimulation

How will your smart glasses perform outside the lab? Join our webinar, Engineering Smart Glasses Audio for the Real World, on 5 November. We’ll walk through how Treble helps teams model devices and wearers, generate acoustic data for AI training, and evaluate audio performance across realistic speech and noise conditions. See how to find performance gaps and expand coverage with less reliance on physical recording campaigns. With Finnur Pind, Daniel Gert Nielsen and Sarabeth S Mullins. Two sessions available: Europe: 2 PM UTC / 3 PM CET USA: 9 AM PST / 12 PM EST Register here: https://lnkd.in/d2qxMfby

See how acoustic simulation can help your team develop better smart glasses audio by identifying performance failures, building targeted datasets and expanding test coverage with less reliance on physical recording campaigns. 💡 Join our webinar: Engineering Smart Glasses Audio for the Real World. A practical walkthrough of smart glasses audio development, from virtual device modelling to AI training data augmentation and system evaluation. 📅 Thursday, 5 November 2026 🇪🇺 Europe: 2:00 PM UTC / 3:00 PM CET 🇺🇸 USA: 9:00 AM PST / 12:00 PM EST / 5:00 PM UTC Secure your spot here: https://lnkd.in/gMgKaNYi Webinar showcase: - Create and characterise the virtual device: Configure device and wearer variants, define the microphone array and explore wearer voice capture. - Build and scale acoustic scenes: Add speech and noise, render multichannel recordings and scale across wearers, rooms, source positions and noise conditions. - Generate and inspect ML-ready data: Isolate challenging conditions and target gaps in training coverage. - Evaluate system performance: Connect results to acoustic metadata to identify which conditions cause performance problems. #SmartGlasses #AudioAI #AcousticSimulation

How will your smart glasses perform outside the lab? Join our webinar, Engineering Smart Glasses Audio for the Real World, on 5 November. We’ll walk through how Treble helps teams model devices and wearers, generate acoustic data for AI training, and evaluate audio performance across realistic speech and noise conditions. See how to find performance gaps and expand coverage with less reliance on physical recording campaigns. With Finnur Pind, Daniel Gert Nielsen and Sarabeth S Mullins. Two sessions available: Europe: 2 PM UTC / 3 PM CET USA: 9 AM PST / 12 PM EST Register here: https://lnkd.in/d2qxMfby #SmartGlasses #AudioEngineering #AcousticSimulation

A buyer might be really impressed with a pair of smart glasses voice and audio performance during an in-store demo. But out on a busy street, on a crowded train or in a bar, those same glasses may not work nearly as well. When audio products can’t cope with the chaotic nature of sound and acoustics in the real world, users are unlikely to blame their environment. They’ll instead blame the product. I wrote this article about how better acoustic data helps product teams build smart glasses that work reliably beyond the lab, and develop new audio features that set their products apart. People working in AR, VR, smart glasses and other wearables - I’d love your feedback!

Today we launch our smart glasses initiative. 🕶️ 🚀 Smart glasses are becoming a voice-first interface to AI. But users will not limit themselves to quiet rooms, fixed positions or predictable noise. They will take calls while walking, issue voice commands in noisy environments and rely on their glasses to hear and understand other voices in crowded cafés, kitchens, cars and streets. 🔊 Our acoustic intelligence platform enables physics-accurate acoustics simulation to help OEMs, ODMs, transducer suppliers, semiconductor companies and audio DSP/AI algorithm developers build for that acoustic reality. The Treble Acoustic Intelligence Platform enables teams to: • Generate device-specific multichannel synthetic data across thousands of virtual environments • Virtually model near-field acoustics and head shadowing, while preserving amplitude and phase relationships, across microphone arrays • Reproduce difficult corner cases with precise acoustic metadata • Evaluate and optimize integrated hardware and algorithms before physical prototypes are available • Explore audio and voice features that would be difficult or impractical to develop using recordings alone Physics-accurate simulation complements lab testing and simplified acoustic models by making more of the real world controllable, repeatable and available earlier in development. 💡 The goal is simple: build a better user experience and find the corner cases before your users do. 🚀 Learn more: https://lnkd.in/d5Ui8Nd3 #SmartGlasses #AudioAI #AcousticSimulation #MachineLearning #WearableTechnology