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Module 1: Introduction to Speech Recognition
Module 2: Introduction to CMUSphinx Toolkit
Module 3: Practices Before Building an Application
Module 4: Building an Application
Module 5: Using PocketSphinx on Android
Module 6: Building Phonetic Dictionary and Language Model
Module 7: Adapting Default Acoustic Models
The CMUSphinx Training is a comprehensive program designed to provide participants with the knowledge and skills needed to work with the CMUSphinx open-source speech recognition toolkit. The course is useful for the following professionals:
There are no formal prerequisites for the CMUSphinx Training. However, a basic understanding of speech recognition technology can be beneficial.
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.
This CMUSphinx Training course is designed to provide knowledge of the applications of the CMUSphinx toolkit. 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. The course also looks at acoustic models and how they can be either adapted or developed.
Module 1: Introduction to Face Recognition and Face Detection
Module 2: Overview of Face Detection
Module 3: Modelling Facial Shape and Appearance
Module 4: Overview of Parametric Face Modelling and Tracking
Module 5: Illumination Modelling for Face Recognition
Module 6: Facial Skin Colour Modelling
Module 7: Face Recognition in Subspaces
Module 8: Face Tracking and Recognition from Video
Module 9: Face Recognition Across Pose and Illumination
Module 10: Overview of Morphable Models
Module 11: Facial Expression Analysis
Module 12: Face Synthesis and Face Databases
Module 13: Face Recognition Evaluation Methods
Module 14: Neural and Psychological Perspectives on Human Face Recognition
The Face Recognition Training is a comprehensive program designed to provide participants with the knowledge and skills needed to understand and implement face recognition technology. The course is useful for the following professionals:
There are no formal prerequisites for the Face Recognition Training. However, a basic understanding of facial recognition technology can be beneficial.
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.
Specific topics covered include how to align facial shape and texture with an input image, as well as illumination modelling for face recognition and facial skin colour modeling. In addition, delegates will learn how to address the problems of face tracking and recognition when working from a video sequence of images.
Module 1: Applying Geometric Transformations to Images
Module 2: Detecting Edges and Applying Image Filter
Module 3: Image Features Extraction
Module 4: Seam Carving
Module 5: Detecting Shapes and Segmenting an Image
Module 6: Object Recognition
The OpenCV with Python Training is a comprehensive program designed to provide participants with the knowledge and skills needed to work with the OpenCV library using the Python programming language. The course is useful for the following professionals:
There are no formal prerequisites for the OpenCV with Python Training. However, a basic understanding of OpenCV and Python can be beneficial.
OpenCV for Python allows the running of computer vision algorithms in real time using the Python language. This technology allows applications to be integrated into the cloud seamlessly. It is also an appropriate tool for fast prototyping to solve computer vision problems.
This one-day OpenCV with Python Training 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. Other knowledge taught includes cartooning an image and seam carving.
Speak to a training expert for advice if you are unsure of what course is right for you. Give us a call on 01344203999 or Enquire.
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Flexible delivery methods are available depending on your learning style.
Resources are included for a comprehensive learning experience.
"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