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Introduction to Speech Recognition
Speech Recognition Concepts
Introduction to CMUSphinx Toolkit
Important Practices before Building an Application
Building an Application
Overview of PocketSphinx on Android
Building Phonetic Dictionary and Language Model
Adapting Default Acoustic Models
Acoustic Model Training for CMUSphinx
Overview of Speech Recognition Accuracy
There are no formal prerequisites for attending this course. However, a basic knowledge of speech technology would be advantageous.
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 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.
There are no formal prerequisites for attending this course.
Anyone who wishes to gain a better understanding of face recognition or plans to work in face recognition can attend this course.
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.
Applying Geometric Transformations to Images
Detecting Edges and Applying Image Filters
Cartoonising an Image
Detecting and Tracking Body Parts
Image Features Extraction
Detecting Shapes and Segmenting an Image
Machine Learning by an Artificial Neural Network
There are no prerequisites for attending this course.
Anyone interested in learning how to use OpenCV with Python can attend this course. This course is well suited for:
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 01344 961497 or Enquire.
Course was run very smoothly, Richard our trainer was extremely knowledgeable and delivered the course in a succinct fashion with a twist of humour thrown in.
The course was great and the so was the trainer - brilliantly delivered and I would certainly recommend this course to my colleagues. Thanks to Richard for a great course and delivering it a tough environment virtually.
Richard was very knowledgeable and explained well
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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