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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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BrandMicrosoft
SubjectsApp Development
Lab AccessNo
TechnologyMicrosoft
Learning StyleSelf-Paced Learning
Learning TypeCourse
DifficultyAdvanced
Course Duration24 Hours
LanguageEnglish

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