Automatic Speech Recognition: Chapter 1

Course Feature

Cost

Free
Provider

Youtube
Certificate

No Information
Language

English
Start Date

2020-11-26
Learners

No Information
Duration

No Information
Instructor

NEWTON Technologies

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2.0

5,501 Ratings

This course provides an introduction to Automatic Speech Recognition (ASR) and how it works. It explains the difference between acoustic and language models, and the right term to use between 'phones' and 'phonemes'. Led by Lenka Weingartová, a Linguist at NEWTON Technologies, and edited by Kateřina Morozová, Customer Support, this course is an ideal starting point for anyone interested in learning more about ASR. With music from www.bensound.com, this course is sure to be an enjoyable and informative experience. Click now to get started!

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Course Overview

❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [September 19th, 2023]

We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)

What skills and knowledge will you acquire during this course?
During this course, the learner will acquire a comprehensive understanding of Automatic Speech Recognition (ASR) and how it functions. They will gain knowledge about the difference between acoustic and language models, which are essential components of ASR systems. The learner will also learn about the correct terminology to use when referring to speech units, whether it is 'phones' or 'phonemes'. By watching the video, they will be able to grasp these concepts and develop a solid foundation in ASR technology. The course is authored by Lenka Weingartová, a linguist at NEWTON Technologies, and edited by Kateřina Morozová from Customer Support. The accompanying music is provided by www.bensound.com.

How does this course contribute to professional growth?
This course on Automatic Speech Recognition (ASR) contributes significantly to professional growth. By understanding ASR and how it works, professionals can enhance their skills and knowledge in the field of speech recognition technology.

The course delves into the intricacies of ASR, providing insights into the difference between acoustic and language models. This understanding allows professionals to develop a comprehensive understanding of the underlying principles and techniques used in ASR systems.

Moreover, the course clarifies the terminology used in ASR, such as the distinction between 'phones' and 'phonemes.' This knowledge is crucial for professionals working in the field, as it ensures accurate communication and collaboration with colleagues and clients.

By watching the video and completing the course, professionals can gain a solid foundation in ASR, enabling them to apply this knowledge in their professional endeavors. This course equips professionals with the necessary skills to work with ASR systems, develop new applications, and contribute to advancements in the field.

Overall, this course on ASR significantly contributes to professional growth by providing a comprehensive understanding of ASR technology, clarifying terminology, and equipping professionals with the skills needed to excel in the field.

Is this course suitable for preparing further education?
It can be said that this course on Automatic Speech Recognition (ASR) is suitable for preparing further education. The course covers various aspects of ASR, including what it is and how it works. It also delves into the difference between acoustic and language models, which are important components of ASR technology. Additionally, the course addresses the terminology used in ASR, specifically the distinction between 'phones' and 'phonemes'. By watching the video and engaging with the content, learners can gain a solid understanding of ASR, which can be beneficial for further education in the field.

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