Discover real-time deepfake AI audio detection in Zoom or Chrome.
Real-time noise removal with crystal-clear voice across any app or device.
Detects AI-generated and manipulated speech in near real time - protecting against voice fraud and synthetic media.
Transforms voice into health and security insights for diagnostics and biometric authentication.
Novel IP, large proprietary data sets, and customizable performance ideal for your app and device use cases.
Ultra-efficient, data independent, AI deep learning algorithms that outperform existing solutions with MOS, error rates, and more.
Low latency for real-time processing in a wide range of consumer and enterprise apps and devices.
Single or multi-mic solutions available. Beamforming and other pre and post processing has you covered throughout the audio path.
Works with a wide range of DSPs, SoCs, and operating systems; on the edge, in the cloud, or within source code.
Ideal for wireless headsets + battery-powered devices. Small foot print algos work well - even with extremely limited CPU resources.
OmniSpeech® was founded by world-renowned speech scientist and electrical engineer, Dr. Carol Espy-Wilson. Based on decades of research into acoustic phonetics, speech production and speech perception, OmniSpeech takes a novel approach to the challenge of ensuring clear speech in noisy environments.
OmniSpeech's groundbreaking speech extraction technology reduces virtually all background noise and improves voice intelligibility on any platform or device. Renowned for its small CPU footprint integrations, low latency real-time processing, and low power consumption, OmniSpeech technology is available in a wide array of hardware and software configurations.
OmniSpeech is a graduate of the VentureAccelerator program at the University of Maryland and is located in UMD’s Technology Ventures Building. Since its founding, OmniSpeech has garnered a number of prestigious technology awards and licensing contracts with fortune 500 companies.
