Webinar: Engineering Smart Glasses Audio for the Real World.
From virtual device modelling to scalable acoustic data and system evaluation
MBI is now an authorized reseller of the Treble Web Application in Korea!
With this partnership, Treble and MBI are bringing next-generation acoustic simulation and sound design solutions to professionals across Korea. MBI's deep expertise in acoustic consultancy and soundscapes makes them the perfect partner to expand the reach of Treble's cutting-edge technology, empowering engineers, and designers to create better-sounding spaces.
"Korea is a hub for innovation and forward-thinking design, making it a key market for Treble. We are thrilled to partner with MBI to bring our state-of-the-art acoustic solutions to even more professionals in the region. We can't wait to see how our solutions will shape the future of sound in Korea!" says Finnur Pind, Treble CEO. MBI will work with support, training and onboarding of Korean users.
Minho Kim, CEO of MBI, says: "We believe that the Treble application brings something new and unique to our offerings. The software has a great potential here, where there is a long history of commissioning both room acoustic design and pro audio from the same firms. The new features launched beginning of February are particularly attractive in our Korean context".
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Treble Raises $18M to Expand Audio and Voice Development Platform for Physical AI
Treble Technologies, a world leader in sound simulation and synthetic acoustic data generation, today announced that it has raised $18 million (approximately €15M) in its Series A-2 round to expand its innovative technology platform for enabling better and easier-to-develop audio-enabled systems. Paladin Capital Group led the round, with participation from existing investors KOMPAS VC, Frumtak Ventures, and the European Innovation Council (EIC) Fund. The latest round brings Treble’s total funding to date to €36M.
Introducing FFASR Leaderboard with Hugging Face
Sign up for the on-demand webinar celebrating the launch of the Far Field ASR Leaderboard (FFASR) on Hugging Face, a new benchmark designed to move audio AI evaluation beyond near field assumptions.
