VISUAL SPEECH RECOGNITION
Deciphers speech from lip movement
State-of-the-art deep learning
services & has a business impact in real-world situations
& robust Visual Speech Recognition (VSR) platform
OVERVIEW – VSR APPLICATIONS
Liopa Visual Speech Recognition has three main application use cases.
with Liopa LipRead
Voice is now perceived as the future of the User Interface, ultimately replacing keyboard, mouse and touchpad. Today’s voice-driven UIs (e.g. Alexa, Siri) depend on Audio Speech Recognition (ASR) technology. But ASR accuracy & user experience can be severely impacted by background noise. Watch a quick overview.
VISUAL SPEECH RECOGNITION (VSR)
Liopa’s VSR – LipRead – is video only & not affected by poor audio quality and background noise.
LipRead improves word accuracy in real-world/noisy environments to offer seamless, intuitive language-processing accuracy for enhanced voice user interface.
ENHANCED QUALITY & USABILITY
LipRead can enhance the quality and usability of the Voice UI in shared offices, on the move, across the production line or at home.
LipRead employs a proprietary Machine Learning approach using Deep Learning & can be ‘intelligently’ integrated with ASR technology using dynamic weighting algorithms.
LIOPA is delighted to announce that SRAVI, its patient/carer communication aid based on AI-based Automated LipReading, has been shortlisted in the FORWARD HEALTHCARE AWARDS (Digital Patient category) and the Health Tech Awards 2019 (Most Promising Pilot category). Working along with …
“Visual Speech Recognition” (VSR) has the catchy ring of a game-changing oxymoron, like “Virtual Reality” or “Artificial Intelligence.” All three are self-contradicting concepts that promise to prove invaluable as individuals, enterprises and government agencies try to take charge of unprecedented …
I’ve recently joined Liopa as Senior Research and Development Engineer. My background is in lip reading and understanding visual speech signals. I’ve spent the last year at Queen Mary University of London conducting research into “Integrating sound and context recognition …
Background In-car speech recognition technology enables drivers to interact with a multitude of useful applications using their voice. Drivers can invoke navigation applications, voice calls, messaging applications, play music, query fuel consumption & set driving modes by simply speaking commands. Improved road safety has been the primary motivation for the deployment of speech recognition systems in …
(This guest article was originally posted in Biometric Technology Today). Today’s best user authentication systems are multi-factor. Users are verified by using – something they know (e.g. a pin or password) something they have (e.g. a key fob) something they are (biometric authentication). The “something they are” factor provides a very …