Webinar Details
Whether you're working in audio machine learning, product design, or signal processing, this session is tailored to help you extract real-world acoustic performance from your CAD models. Helping you to guide early decision making around audio hardware designs, build algorithms from an early stage and test products that are not yet built.
The webinar will be held on Wednesday, May 28th at 9am PST / 12pm EST / 4pm GMT / 6pm CEST
Duration: 50 minutes + Live Q&A
Agenda
- Introduction: The Problem We’re Solving
Go from a CAD file to comprehensive acoustic performance data in minutes or hours, not weeks or months. - Feature Spotlight: How are device specific impulse responses in complex environments generated in the Treble SDK?
Deep dive into the new SDK feature: Upload CAD files to Treble, generate device specific IRs, render your device into any acoustic environment - Virtual Prototyping at Scale
From AR glasses to smart speakers to hearing aids: test, iterate, and evaluate acoustic performance before you build. - Machine Learning Data Augmentation
Programmatically generate millions of real-world, device-specific audio samples for ML training. - Roadmap Preview
We will go over the roadmap for the DRTF from CAD feature - Live Q&A
Meet the speakers
Product Manager for the Treble SDK - Treble Technologies
Dr. Daniel Gert Nielsen
Dr. Daniel Gert Nielsen is a specialist in numerical vibro-acoustics, with a PhD focused on loudspeaker modeling and optimization. His expertise spans acoustic simulation for communication devices and synthetic data generation for machine learning applications. With a strong background in numerical methods and audio technology, he plays a key role in shaping advanced acoustic modeling solutions at Treble.
Principal Simulation Specialist & Team Lead
Dr. Solvi Thrastarson
Dr. Solvi Thrastarson is a principal simulation specialist at Treble, with deep expertise in wave physics and numerical modeling. Holding a PhD in seismology, his academic background centers on the propagation of complex wave phenomena and the development of high-fidelity simulation techniques. Dr. Thrastarson’s work integrates advanced finite element methods and large-scale optimization strategies, driving the accuracy and performance of Treble’s wave-based acoustic engine.