"Consumer apps using voice AI are today seeing tremendous growth. AI Meeting notetakers like Granola, Fireflies, Fathom, and Read AI have received both user and investor attention. Existing companies like OpenAI, ClickUp, and Notion have integrated voice transcription solutions. App makers like Wispr Flow and Willow are working on voice dictation. Then there are hardware companies like Plaud and Sandbar that are using devices as a medium to transcribe your voice, then use AI for insight generation and interaction."
"To address this, Subtle Computing developed an end-to-end voice isolation model that can understand what you are saying even in noisy environments. Chen said that there are a lot of companies working on voice understanding. He noted that at times, device manufacturers send the voice to the cloud to get a clean output, but that's not efficient. The startup trains specific models to suit the acoustics of a particular device and adapt to the user's voice instead of training one model that works across devices."
Voice-enabled consumer apps and hardware are growing rapidly, including meeting notetakers, transcription services, dictation apps, and devices that transcribe audio for AI-driven insights. Capturing clear user speech in noisy environments remains a core challenge for these products. Subtle Computing created an end-to-end voice isolation model designed to recover intelligible speech even in loud settings. The company trains models tailored to each device's acoustic profile and adapts to individual users rather than relying on a single generic model. Preserving device acoustic characteristics yields much better performance and enables personalized solutions. The company was founded by Tyler Chen, David Harrison, Savannah Cofer, and Jackie Yang after meeting at Stanford and collaborating in a Lean Launchpad course.
Read at TechCrunch
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