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Speech Recognition Systems

Understanding and Developing the system of Automatic Speech Recognition (ASR) is an inter-disciplinary action, taking aptitude in mathematics, computer science, linguistics, and electrical engineering.

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Microsoft

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Advanced

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24 Hours

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Understanding and Developing the system of Automatic Speech Recognition (ASR) is an inter-disciplinary action, taking aptitude in mathematics, computer science, linguistics, and electrical engineering.

Course Information

About this course:

Understanding and Developing the system of Automatic Speech Recognition (ASR) is an inter-disciplinary action, taking aptitude in mathematics, computer science, linguistics, and electrical engineering.

At the point when a human expresses a word, they cause their voice to create a pattern of sounds that varies over time. These sounds are floods of weight that proliferate through the air. These are caught by a sensor, for example, a microphone, and transformed into an arrangement of numbers showing the weight change after some time. The programmed speech recognition system changes over this signal of time-pressure into the energy of the time-frequency signal. These acoustic names are joined with a model of pronunciation for the word and a model of word arrangements, to make a literary portrayal of information disclosed.

Rather than examine one piece of this procedure profoundly, this course is intended to give a review of the parts of a recent ASR framework. In each training, we depict a segment's motivation and general structure. In every lab, the understudy makes a working block of the framework. Toward the finish of the course, we will have built a speech recognition system on the whole out of Python code.

Course Objective:

  • Basics of Speech Recognition
  • Fundamentals Signal Processing for Speech Recognition
  • Acoustic Labeling and Modeling.
  • Common Language Modeling Algorithms.
  • Features of Decoding Acoustic into Speech

Audience:

  • Voice recognition system specialist
  • Speech processing analyst
  • Linguistic theorist

Prerequisite:

  1. Basic principles of Machine Learning
  2. Some python experience
  3. Knowledge of statistics and probability.

 

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Brand Microsoft
Subjects App Development
Lab Access No
Technology Microsoft
Learning Style Self-Paced Learning
Learning Type Course
Difficulty Advanced
Course Duration 24 Hours
Language English

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Brian Hernandez
Web development Instructor

 

Brian Hernandez has been in the development field for over a decade. Brain works extensively with Full Stack Web Development, MEAN Stack, MEMR (Mango, Express, MySQL, React) Stack and other Modern Web Frameworks.

Brian is a consultant, and his company is currently catering to clients to want to improve their online presence or build one from scratch. He has worked with high profile companies, helping them move them to digital, both for in-housework, and for having a digital presence for their external stakeholders.

Brian also works as a web-development instructor and teaches everything starting from HTML/CSS basics to layout techniques, programming concepts (objects, arrays, loops etc.), JavaScript, jQuery, and responsive concepts and techniques.

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