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Speech Recognition Systems

Microsoft via edX

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Developing and understanding Automatic Speech Recognition (ASR) systems is an inter-disciplinary activity, taking expertise in linguistics, computer science, mathematics, and electrical engineering.

When a human speaks a word, they cause their voice to make a time-varying pattern of sounds. These sounds are waves of pressure that propagate through the air. The sounds are captured by a sensor, such as a microphone or microphone array, and turned into a sequence of numbers representing the pressure change over time. The automatic speech recognition system converts this time-pressure signal into a time-frequency-energy signal. It has been trained on a curated set of labeled speech sounds, and labels the sounds it is presented with. These acoustic labels are combined with a model of word pronunciation and a model of word sequences, to create a textual representation of what was said.

Instead of exploring one part of this process deeply, this course is designed to give an overview of the components of a modern ASR system. In each lecture, we describe a component's purpose and general structure. In each lab, the student creates a functioning block of the system. At the end of the course, we will have built a speech recognition system almost entirely out of Python code.

Taught by

Adrian Leven
Cost Free Online Course
Pace Self Paced
Institution Microsoft
Provider edX
Language English
Certificates $99 Certificate Available
Hours 5-6 hours a week
Calendar 4 weeks long
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Review for edX's Speech Recognition Systems
2.0 Based on 1 reviews

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2.0 2 weeks ago
Kurp dropped this course, spending 1 hours a week on it and found the course difficulty to be hard.
My review is based on material of the first module only. The course seems to be strongly text-based, with no satisfying clarification of some terms and ideas. I believe video would be perfect to explain the subject - and the only thing we've got is a wall of text of mediocre clarity and quality. I expected nice introduction to the subject, but think nobody without prior knowledge would be able to finish the course.
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