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Face and Speech Recognition courses

Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

CMUSphinx Training Outline

Introduction to Speech Recognition

Speech Recognition Concepts

  • Structure of Speech
  • Recognition Process
  • Models Basics

Introduction to CMUSphinx Toolkit

Important Practices before Building an Application

  • Algorithms
  • Existing Accuracy Results
  • Resources
  • Technologies

Building an Application

  • Using Sphinx4
  • Using PocketSphinx

Overview of PocketSphinx on Android

Building Phonetic Dictionary and Language Model

Adapting Default Acoustic Models

  • Creating an Adaptation Corpus
  • Adapting an Acoustic Model
  • Testing Adaptation
  • Using Model
  • Troubleshooting

Acoustic Model Training for CMUSphinx

  • Data Preparation
  • Package Compilation
  • Setting Training Scripts
  • Training Internals
  • Using Model and Troubleshooting

Overview of Speech Recognition Accuracy

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Prerequisites

There are no formal prerequisites for attending this course. However, a basic knowledge of speech technology would be advantageous. 

Audience

Anyone who is interested in learning how to apply speech technology in applications can attend this course. This course is suitable for developers and programmers.

CMUSphinx Training Course Overview

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.

 

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What's included?

  • The Knowledge Academy's CMUSphinx Training Manual
  • Experienced Instructor
  • Certificate

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Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

Face Recognition Training Course Outline

  • Introduction to Face Recognition
  • Overview of Face Detection
  • Modelling Facial Shape and Appearance
  • Overview of Parametric Face Modelling and Tracking
  • Illumination Modelling for Face Recognition
  • Facial Skin Colour Modelling
  • Face Recognition in Subspaces
  • Face Tracking and Recognition from Video
  • Face Recognition Across Pose and Illumination
  • Overview of Morphable Models
  • Facial Expression Analysis
  • Face Synthesis and Face Databases
  • Face Recognition Evaluation Methods
  • Neural and Psychological Perspectives on Human Face Recognition
  • Face Recognition Applications

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Prerequisites

There are no formal prerequisites for attending this course.

Audience

Anyone who wishes to gain a better understanding of face recognition or plans to work in face recognition can attend this course.

Face Recognition Training Course Overview

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.

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What's included?

  • The Knowledge Academy's Face Recognition Training Course Manual
  • Experienced Instructor
  • Certificate

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

OpenCV with Python Training Course Outline

Applying Geometric Transformations to Images

  • Installing OpenCV-Python
  • Reading, Displaying, and Saving Images
  • Image Colour Spaces
  • Image Translation, Rotation, and Scaling
  • Affine and Projective Transformations
  • Image Warping

Detecting Edges and Applying Image Filters

  • 2D Convolution
  • Blurring, Sharpening, Embossing, and Edge Detection
  • Erosion and Dilation

Cartoonising an Image

Detecting and Tracking Body Parts

Image Features Extraction

  • Keypoints
  • Detecting the Corners
  • SIFT, SURF, FAST and BRIEF

Seam Carving

Detecting Shapes and Segmenting an Image

  • Shape Matching and Contour Analysis
  • Approximating a Contour
  • Censoring a Shape
  • Image Segmentation

Object Tracking

Object Recognition

  • Object Detection vs. Object Recognition
  • Dense Feature Detector
  • Visual Dictionary
  • Support Vector Machines

Augmented Reality

Machine Learning by an Artificial Neural Network

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Prerequisites

There are no prerequisites for attending this course.

Audience

Anyone interested in learning how to use OpenCV with Python can attend this course. This course is well suited for:

  • Python Developers new to OpenCV
  • Generic Software Developers

OpenCV with Python Training Course Overview

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.

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What's included?

  • The Knowledge Academy's Open CV with Python Training Course Manual
  • Experienced Instructor
  • Certificate

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Not sure which course to choose?

Speak to a training expert for advice if you are unsure of what course is right for you. Give us a call on +31 8000 227317 or Enquire.

What our customers are saying

Frequently asked questions

FAQ's

This depends on the training course you choose. The Face Recognition course takes 2 days, while the CMUSphinx Training and OpenCV with Python courses last 1 day each.
We offer Face and Speech Recognition training courses in locations all over the UK, as well as abroad. We make it easy to find a training venue near you!
The Knowledge Academy’s Face and Speech Recognition training courses include the courseware, a certificate, and tuition from an experienced instructor.
Prerequisites vary according to the course. Please see each course for details.
The Knowledge Academy is the Leading global training provider in the world for Face and Speech Recognition.
The price for Face and Speech Recognition certification in Netherlands starts from €995.

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Many delivery methods

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High quality resources

Resources are included for a comprehensive learning experience.

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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

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"...the trainer for this course was excellent. I would definitely recommend (and already have) this course to others."

Diane Gray, Shell

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