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Visual Speech Recognition

Deciphers speech from lip movement

State-of-the-art deep learning

Overview – VSR Applications

Liopa Visual Speech Recognition has three main application use cases.

Transforming the Voice UI

Improving accuracy of speech recognition. Making voice-driven applications better:

Virtual Assistants – Siri, Cortana, Alexa
In vehicle Voice Activation
Smart Home device control

LipRead

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Liveness Detection

Improved online and mobile User Authentication for enhanced security:

ensuring a real person is present
anti-spoofing for Facial Recognition
alternative to CAPTCHA

LipSecure

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Keyword Spotting

Identify occurrences of words/phrases in video footage:

Surveillance video analysis
Broadcast monitoring
Transcription assistance

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Transforming the Voice UI

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.
Improves Accuracy
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.
AI Intelligence
LipRead employs a proprietary Machine Learning approach using Deep Learning & can be ‘intelligently’ integrated with ASR technology using dynamic weighting algorithms.

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Liveness Detection

with Liopa LipSecure

Biometrics are increasingly used in on-line authentication – but can be compromised with an artificial replica of biometric used. For example, a photograph or video of a subject can compromise (spoof) many Facial Recognition systems. There is a need to ensure a real ‘live’ person is present.

Robust Liveness Detection
User is asked to repeat on-screen sequence of digits. Liopa’s VSR technology checks if digits are spoken correctly and thus determines if ‘live’ person is present.
Software-based
LipSecure is software-based – no expensive sensors required. Can be deployed on-device, in the cloud or as a hybrid.
Easy application integration
Easily integrated with 3rd party Facial Recognition systems and with mobile & web applications.

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Our Team

The Liopa leadership team have a proven track record in founding and developing successful hi-tech software product start-ups. Our team combines expert commercial skills with in-depth knowledge of software architectural design techniques and development methodologies for highly resilient and scalable systems. We are leaders in the development of new techniques in the fields of image processing, facial, phoneme and viseme analytics.

Liam McQuillan

CEO

Liam is a veteran of the Telecomms Software Industry with over 20 years of C-level experience in Hi-Tech startups. He co-founded AePONA (acquired by Intel in 2013) and APiON (acquired by Phone.com in 1999) performed a variety of Leadership roles including CEO, COO and Head of Engineering.

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Richard McConnell

COO

Most recently Richard was Director of Product Management at Intel. Previous to that he was CTO of AePONA (sold to Intel in 2013), COO & co-founder at Mobile Cohesion (sold to Aepona in 2008), Group VP of Mobile Carrier Products at Openwave and CTO & co-founder at APiON (sold to Phone.com in 1999). He has also held a number of non-executive board positions with a range of emerging high-tech software companies.

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Dr Darryl Stewart

Chief Scientist

Darryl is a Senior Lecturer in Queen’s University Belfast’s School of Electronics, Electrical Engineering and Computer Science. He has over 15 years’ experience carrying out research into Speech and Image processing and is a recognised expert in the fusion of audio-visual data streams for robust speech recognition in real-world noisy environments.

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Dr Fabian Campbell-West

CTO

Fabian was previously a Principal Engineer at CSIT (Centre for Secure Information Technologies), leading multi-disciplinary R&D projects using data analytics. He has extensive experience working in startups both as a founder and as a consultant. He has worked in the field of computer vision for 15 years with experience in moving object detection, tracking and online learning. He has worked closely with Dr Stewart in the realisation of the current Liopa solution. He holds a PhD in Computer Vision.

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Dr Alex Cowan

Data Scientist/ML expert

Alex was recently a Research Fellow in CSIT (Centre for Secure Information Technologies). She has worked in the field of data mining and machine learning for over five years, with a specific interest in probabilistic graphical models. She holds a BSc in Mathematics and Statistics & Operational Research and a PhD in Statistics.

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Dr Adrian Pass

Senior R+D Engineer

Adrian was previously a Research Engineer at Aurora Computer Services, developing state-of-the-art deep learning based AI for a number of applications including biometrics, OCR and object detection/classification. Along with a 13 year track record in signal processing and machine learning, he has extensive experience writing deployable software for a wide range of platforms from safety critical embedded devices to large scale UI based applications. He holds a BSc in Acoustics and a PhD in Visual Speech Processing.

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Dr Michael Loughlin

Technical Adviser

Michael is a Software Architect & Developer with 15 years' experience in the productisation of early-stage technologies. He has deployed commercial solutions into the financial, healthcare, telecoms and security sectors. His specialisms include rapid prototyping, responsive distributed architectures, security-by-design and systems integration. He holds a PhD in Computational Fluid Dynamics.

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