Face and Speech Recognition

Online Instructor-led (1 days)

Online Self-paced (8 hours)

CMUSphinx Training Outline

Module 1: Introduction to Speech Recognition

  • Speech Recognition
  • Working of Speech Recognition
  • Structure of Speech
  • Recognition Process
  • Model Basics

Module 2: Introduction to CMUSphinx Toolkit

  • PocketSphinx
  • Sphinxtrain

Module 3: Practices Before Building an Application

  • Algorithms
  • Existing Accuracy Results
  • Resources
  • Technologies

Module 4: Building an Application

  • Using Sphinx
  • Using PocketSphinx

Module 5: Using PocketSphinx on Android

  • Referencing Libraries
  • Setting Permissions
  • Resource Files
  • Application

Module 6: Building Phonetic Dictionary and Language Model

  • Introduction to Phonetic Dictionary
  • Using Existing Dictionaries
  • Using g2p-seq2seq to Extend the Dictionary
  • Using Keyword Lists with PocketSphinx
  • Building a Grammar
  • Create Statistical Language Model

Module 7: Adapting Default Acoustic Models

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

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Who should attend this CMUSphinix Training Course?

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:

  • Speech Recognition Developers
  • Natural Language Processing (NLP) Engineers
  • Software Developers
  • Research Scientists
  • Artificial Intelligence Experts
  • Application Developers
  • Machine Learning Developers

Prerequisites of the CMUSphinx Training Course

There are no formal prerequisites for the CMUSphinx Training. However, a basic understanding of speech recognition technology can be beneficial.

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 in this CMUSphinx Training Course

  • World-class Training Sessions from Experienced Instructors
  • CMUSphinx Training Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

Face Recognition Training Course Outline

Module 1: Introduction to Face Recognition and Face Detection

  • What is Face Recognition?
  • Face Recognition Processing
  • Analysis in Face Subspaces

Module 2: Overview of Face Detection

  • Face Detection
  • Appearance-Based and Learning Based Approaches
  • Pre-Processing

Module 3: Modelling Facial Shape and Appearance

  • Statistical Models of Appearance
    • Statistical Shape Models
    • Face Shape Variation
    • Statistical Models of Texture

Module 4: Overview of Parametric Face Modelling and Tracking

  • Parametric Face Modelling
  • Model-Based Trackers: First-Frame Models or Statistical Models

Module 5: Illumination Modelling for Face Recognition

  • Using PCA for Generating Linear Lighting Models
  • Harmonic Reflectances

Module 6: Facial Skin Colour Modelling

  • Skin Colour Models
    • Single Images
    • Image Sequences

Module 7: Face Recognition in Subspaces

  • Face Space and its Dimensionality
  • Image Space Versus Face Space
  • Linear Subspaces
  • Recognition with Sets

Module 8: Face Tracking and Recognition from Video

  • Overview of Face Tracking and Recognition from Video
  • Time Series State Space Model for Recognition

Module 9: Face Recognition Across Pose and Illumination

  • Introduction to Face Recognition Across Pose and Illumination
    • Multiview Face Recognition and Face Recognition Across Pose​
    • Illumination Invariant Face Recognition

Module 10: Overview of Morphable Models

  • Morphable Model for Face Analysis
  • 3D Morphable Model Construction
  • Image Analysis with a 3D Morphable Model

Module 11: Facial Expression Analysis

  • Facial Expression Analysis
  • Basic Structure of Facial Expression Analysis Systems
  • Face Detection Methods

Module 12: Face Synthesis and Face Databases

  • Introduction
  • Face Modelling
  • Face Relighting
  • Face Databases

Module 13: Face Recognition Evaluation Methods

  • Standard Performance Measures
  • Open-Set Identification
  • Verification
  • Closed-Set Identification

Module 14: Neural and Psychological Perspectives on Human Face Recognition

  • Psychological Aspects of Face Perception and Recognition
  • Facial Expressions, Movement, and Social Signals

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Who should attend this Face Recognition Training Course?

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:

  • Computer Vision Engineers
  • Software Developers
  • Security and Surveillance Experts
  • Application Developers
  • Biometric System Developers
  • Application Developers
  • Privacy and Ethics Advocates

Prerequisites of the Face Recognition Training Course

There are no formal prerequisites for the Face Recognition Training. However, a basic understanding of facial recognition technology can be beneficial.

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 in this Face Recognition Training Course

  • World-class Training Sessions from Experienced Instructors
  • Face Recognition Training Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

OpenCV with Python Training Course Outline

Module 1: Applying Geometric Transformations to Images

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

Module 2: ​​Detecting Edges and Applying Image Filter

  • 2D Convolution
  • Blurring, Sharpening, and Edge Detection
  • Erosion and Dilation
  • Cartooning an Image

Module 3: Image Features Extraction

  • Keypoints
  • Detecting the Corners
  • SIFT (Scale Invariant Feature Transform)
  • SURF (Speeded-Up Robust Features)
  • FAST (Features from Accelerated Segmented Test)
  • BRIEF (Binary Robust Independent Elementary Features)

Module 4: Seam Carving

  • What is Seam Carving?
  • Traditional Resizing Vs Seam Carving

Module 5: Detecting Shapes and Segmenting an Image

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

Module 6: Object Recognition

  • Object Detection Vs Object Recognition
  • Dense Feature Detector
  • Visual Dictionary
  • Support Vector Machines
  • Detecting and Tracking Body Parts
  • Machine Learning by an Artificial Neural Network

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Who should attend this OpenCV with Python Training Course?

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:

  • Computer Vision Enthusiasts
  • Artificial Intelligence and Machine Learning Developers
  • Software Engineers
  • Image Processing Specialists
  • Robotics Engineers
  • Data Scientists
  • Application Developers

Prerequisites of the OpenCV with Python Training Course

There are no formal prerequisites for the OpenCV with Python Training. However, a basic understanding of OpenCV and Python can be beneficial.

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 in this OpenCV with Python Training Course

  • World-class Training Sessions from Experienced Instructors
  • OpenCV with Python Training Certificate
  • Digital Delegate Pack

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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 +44 1344 203999 or Enquire.

Face and Speech Recognition FAQs

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 for Face and Speech Recognition.
The training fees for Face and Speech Recognition in Philippines starts from $2495.
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