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Facial recognition systems identify and verify a person automatically from a digital image or a video. Speech recognition technology recognises and interprets natural language instructions from human voices and processes these instructions.
Face recognition is a method of identifying or verifying an individual’s identity from their face. Face recognition systems use computer algorithms to pick out unique details about a person’s face, converting them into a mathematical representation and comparing it to data on other faces collected in a database. These systems can either recognise faces on request or process them in real-time.
Speech recognition technology enables spoken input into systems. It is generally used to replace other input methods such as typing or clicking and has been successfully implemented in fields including the military, medicine and robotics. It can also be used for device control, voice transcription, and Bluetooth systems in cars.
Face recognition is a type of technology used to identify or verify or an individual’s identity by using their face. Face recognition systems can recognise people in pictures, video, or in real-time. This Face Recognition Training course is designed to provide extensive knowledge of the technological workings of face recognition. Delegates will learn about face recognition processing, techniques for face detection and statistical learning methods.
CMUSphinx is a collection of speech recognition development libraries and tools that can be linked into speech-enabled applications. This course focuses on Sphinx4, a Java-based large vocabulary speech recognition system, and PocketSphinx, a version designed to run on mobile devices. Delegates will gain an understanding of how to build an application with Sphinx4 and PocketSphinx, including how to build a phonetic dictionary and language model.
OpenCV for Python allows the running of computer vision algorithms in real time using the Python language. This allows applications to be integrated into the cloud seamlessly and enables fast prototyping to solve computer vision problems. This course provides delegates with an understanding of the concepts of object tracking and object recognition. It also teaches practical skills for image transformation, including applying geometric transformations to images, detecting edges, segmenting an image and applying image filters.
Gain specialised skills in face recognition, speech recognition, and computer vision
Delivered by world-class instructors
The most up-to-date technology and techniques
Use artificial intelligence capabilities to learn from user behaviour
Flexible delivery methods to suit learning style
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Face and Speech Recognition
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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"
Joshua Davies, Thames Water
"...the trainer for this course was excellent. I would definitely recommend (and already have) this course to others."
Diane Gray, Shell