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AWS
Amazon Transcribe is a fully managed and continually trained automatic speech recognition (ASR) service that accepts common audio formats and can accurately transcribe both low-fidelity and high-fidelity audio.
Read more
Amazon Transcribe is a fully managed and continually trained automatic speech recognition (ASR) service that accepts common audio formats and can accurately transcribe both low-fidelity and high-fidelity audio.
Read more
Amazon Transcribe is a fully managed and continually trained automatic speech recognition (ASR) service that accepts common audio formats and can accurately transcribe both low-fidelity and high-fidelity audio.
Amazon Transcribe is a fully managed and continually trained automatic speech recognition (ASR) service that accepts common audio formats and can accurately transcribe both low-fidelity and high-fidelity audio. This course introduces you to the service by highlighting key features and use cases. We also review the benefits of deep learning to improve the accuracy of transcriptions and demonstrate a simple transcription.
Register for this course and see more details by visiting:
OpenCourser.com/course/kdcor0/introduction
What's inside
Syllabus
Introduction to Amazon Transcribe
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Covers key features and use cases of Amazon Transcribe, providing a comprehensive overview
Demonstrates a simple transcription, supporting a practical understanding of the service
Suitable for learners interested in applying speech recognition to audio data
Save this course
Save Introduction to Amazon Transcribe to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Introduction to Amazon Transcribe with these
activities:
Review general principles of automatic speech recognition (ASR)
Show steps
Understand the fundamental concepts of ASR to enhance comprehension of the course content.
Browse courses on
Automatic Speech Recognition
Show steps
-
Read introductory articles or watch videos about ASR.
-
Review key concepts such as acoustic models, language models, and feature extraction.
Complete guided tutorials on Amazon Transcribe
Show steps
Gain practical experience using Amazon Transcribe to transcribe audio and enhance understanding of its capabilities.
Browse courses on
Amazon Transcribe
Show steps
-
Find step-by-step tutorials provided by AWS or other reputable sources.
-
Follow the instructions to set up and use Amazon Transcribe.
-
Transcribe sample audio files to practice and observe the results.
Conduct practice transcriptions with varying audio quality
Show steps
Improve transcription accuracy and fluency by practicing with diverse audio samples.
Browse courses on
Transcription
Show steps
-
Collect or generate audio files with different levels of quality.
-
Use Amazon Transcribe to transcribe the audio.
-
Compare the transcriptions to the original audio to identify errors.
-
Analyze the results and identify areas for improvement in transcription accuracy.
Two other activities
Expand to see all activities and additional details
Show all five activities
Mentor or assist other students with Amazon Transcribe
Show steps
Enhance understanding and solidify knowledge by explaining concepts and providing guidance to others.
Show steps
-
Identify students who need assistance or guidance with Amazon Transcribe.
-
Provide explanations, answer questions, and guide them through practical exercises.
-
Review the Amazon Transcribe documentation and other resources to prepare for mentoring.
Volunteer in organizations utilizing Amazon Transcribe
Show steps
Gain practical experience and contribute to real-world projects using Amazon Transcribe.
Show steps
-
Identify organizations that use Amazon Transcribe in their operations.
-
Inquire about volunteering opportunities and express interest in assisting with ASR-related tasks.
-
Attend volunteer training to familiarize with the organization's workflow and ethical guidelines.
Review general principles of automatic speech recognition (ASR)
Show steps
Understand the fundamental concepts of ASR to enhance comprehension of the course content.
Browse courses on
Automatic Speech Recognition
Show steps
Show steps
Show steps
- Read introductory articles or watch videos about ASR.
- Review key concepts such as acoustic models, language models, and feature extraction.
Complete guided tutorials on Amazon Transcribe
Show steps
Gain practical experience using Amazon Transcribe to transcribe audio and enhance understanding of its capabilities.
Browse courses on
Amazon Transcribe
Show steps
Show steps
Show steps
- Find step-by-step tutorials provided by AWS or other reputable sources.
- Follow the instructions to set up and use Amazon Transcribe.
- Transcribe sample audio files to practice and observe the results.
Conduct practice transcriptions with varying audio quality
Show steps
Improve transcription accuracy and fluency by practicing with diverse audio samples.
Browse courses on
Transcription
Show steps
Show steps
Show steps
- Collect or generate audio files with different levels of quality.
- Use Amazon Transcribe to transcribe the audio.
- Compare the transcriptions to the original audio to identify errors.
- Analyze the results and identify areas for improvement in transcription accuracy.
Two other activities
Expand to see all activities and additional details
Show all five activities
Mentor or assist other students with Amazon Transcribe
Show steps
Enhance understanding and solidify knowledge by explaining concepts and providing guidance to others.
Show steps
Show steps
Show steps
- Identify students who need assistance or guidance with Amazon Transcribe.
- Provide explanations, answer questions, and guide them through practical exercises.
- Review the Amazon Transcribe documentation and other resources to prepare for mentoring.
Volunteer in organizations utilizing Amazon Transcribe
Show steps
Gain practical experience and contribute to real-world projects using Amazon Transcribe.
Show steps
Show steps
Show steps
- Identify organizations that use Amazon Transcribe in their operations.
- Inquire about volunteering opportunities and express interest in assisting with ASR-related tasks.
- Attend volunteer training to familiarize with the organization's workflow and ethical guidelines.
Career center
Learners who complete Introduction to Amazon Transcribe will develop knowledge and skills
that may be useful to these careers:
Caption Writer
Caption Writer
Caption Writers are responsible for creating captions for videos and other audio content. They may work in a variety of industries, including media, education, and business. Amazon Transcribe can be a valuable tool for Caption Writers, as it can help them to transcribe audio recordings quickly and accurately. This can save them a significant amount of time and effort, and it can also help them to improve the quality of their work.
Court Reporter
Court Reporter
Court Reporters are responsible for recording and transcribing legal proceedings. They may work in a variety of settings, including courtrooms, depositions, and hearings. Amazon Transcribe can be a valuable tool for Court Reporters, as it can help them to transcribe audio recordings quickly and accurately. This can save them a significant amount of time and effort, and it can also help them to improve the quality of their work.
Podcaster
Podcaster
Podcasters create and produce audio content for distribution over the internet. They may work independently or for a company or organization. Amazon Transcribe can be a valuable tool for Podcasters, as it can help them to transcribe their audio content. This can help them to create transcripts for their episodes, which can make their content more accessible to listeners. Additionally, Amazon Transcribe can be used to create closed captions for videos of their podcasts, which can make their content more accessible to deaf and hard of hearing listeners.
Video Editor
Video Editor
Video Editors create and edit video content for a variety of purposes, including film, television, and online media. They may work independently or for a company or organization. Amazon Transcribe can be a useful tool for Video Editors, as it can help them to transcribe audio recordings of interviews, voiceovers, and other audio content. This can help them to create transcripts for their videos, which can make their content more accessible to viewers. Additionally, Amazon Transcribe can be used to create closed captions for their videos, which can make their content more accessible to deaf and hard of hearing viewers.
Audio Engineer
Audio Engineer
Audio Engineers are responsible for recording, mixing, and editing audio for a variety of purposes. They may work in a variety of industries, including music, film, and television. Amazon Transcribe can be a valuable tool for Audio Engineers, as it can help them to transcribe audio recordings quickly and accurately. This can save them a significant amount of time and effort, and it can also help them to improve the quality of their work.
Speech Therapist
Speech Therapist
Speech Therapists assess and treat speech and language disorders in children and adults. They may work in a variety of settings, including schools, hospitals, and private clinics. Amazon Transcribe can be a useful tool for Speech Therapists, as it can help them to transcribe audio recordings of their patients' speech. This can help them to assess their patients' progress and to identify areas where they need additional support.
Journalist
Journalist
Journalists are responsible for gathering, writing, and reporting news and current events. They may work for a variety of media outlets, including newspapers, magazines, and television stations. Amazon Transcribe can be a valuable tool for Journalists, as it can help them to transcribe audio recordings of interviews, press conferences, and other events. This can save them a significant amount of time and effort, and it can also help them to improve the accuracy of their reporting.
Legal Assistant
Legal Assistant
Legal Assistants provide administrative and clerical support to attorneys and other legal professionals. They may work in a variety of settings, including law firms, corporate legal departments, and government agencies. Amazon Transcribe can be a useful tool for Legal Assistants, as it can help them to transcribe audio recordings of depositions, interviews, and other legal proceedings. This can save them a significant amount of time and effort, and it can also help them to improve the quality of their work.
Broadcast Technician
Broadcast Technician
Broadcast Technicians are responsible for operating and maintaining the equipment used to broadcast radio and television signals. They may also work on the production of audio and video content. Amazon Transcribe can be a useful tool for Broadcast Technicians, as it can help them to transcribe audio recordings of broadcasts. This can be useful for creating transcripts of interviews, news reports, and other types of content.
Paralegal
Paralegal
Paralegals provide legal assistance to attorneys and other legal professionals. They may work in a variety of settings, including law firms, corporate legal departments, and government agencies. Amazon Transcribe can be a useful tool for Paralegals, as it can help them to transcribe audio recordings of depositions, interviews, and other legal proceedings. This can save them a significant amount of time and effort, and it can also help them to improve the quality of their work.
Librarian
Librarian
Librarians are responsible for organizing, cataloging, and maintaining library collections. They may also provide reference and research assistance to library patrons. Amazon Transcribe can be a useful tool for Librarians, as it can help them to transcribe audio recordings of interviews, lectures, and other events. This can help them to create a more comprehensive record of their library's collection and to provide better service to their patrons.
Market Researcher
Market Researcher
Market Researchers are responsible for conducting research to understand consumer behavior and trends. They may work in a variety of industries, including marketing, advertising, and product development. Amazon Transcribe can be a useful tool for Market Researchers, as it can help them to transcribe audio recordings of interviews, focus groups, and other data collection methods. This can help them to improve the quality of their research and to identify insights that may not be apparent from the raw audio.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts are responsible for testing and evaluating software and other products to ensure that they meet quality standards. They may work in a variety of industries, including software development, manufacturing, and healthcare. Amazon Transcribe can be a useful tool for Quality Assurance Analysts, as it can help them to transcribe audio recordings of bug reports and other feedback from users. This can help them to identify and resolve issues more quickly and effectively.
Data Analyst
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. They may work in a variety of industries, including business, finance, and healthcare. Amazon Transcribe can be a useful tool for Data Analysts, as it can help them to transcribe audio recordings of interviews, focus groups, and other types of data collection. This can help them to improve the quality of their data and to identify insights that may not be apparent from the raw audio.
Language Teacher
Language Teacher
Language Teachers are responsible for teaching foreign languages to students. They may work in a variety of settings, including schools, colleges, and universities. Amazon Transcribe can be a useful tool for Language Teachers, as it can help them to transcribe audio recordings of their students' speech. This can help them to assess their students' progress and to identify areas where they need additional support.
For more career information including salaries, visit:
OpenCourser.com/course/kdcor0/introduction
Reading list
We've selected eight books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Introduction to Amazon Transcribe.
A classic textbook that provides a rigorous mathematical foundation for speech recognition. Focuses on hidden Markov models and Gaussian mixture models.
Provides a comprehensive overview of deep learning techniques for automatic speech recognition. Covers topics like convolutional neural networks, recurrent neural networks, and attention mechanisms.
A comprehensive overview of speech and language processing. Covers topics like speech recognition, natural language processing, and machine translation.
Provides a comprehensive overview of deep learning techniques for natural language processing. Covers topics like word embeddings, recurrent neural networks, and transformers.
Provides a comprehensive overview of speech and audio signal processing. Covers topics like digital signal processing, speech enhancement, and speaker recognition.
A practical guide to natural language processing with Python. Provides hands-on examples of how to use popular NLP libraries like NLTK and spaCy.
Provides a comprehensive overview of the Natural Language Toolkit (NLTK), a popular Python library for NLP. Covers topics like tokenization, stemming, parsing, and machine learning.
Provides an overview of machine learning techniques for audio, image, and video analysis. Covers topics like feature extraction, classification, and clustering.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/kdcor0/introduction
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Time
9 hours
Level
Introductory
Via
Pluralsight
Instructor
AWS
Language
English
Good to know
Covers key features and use cases of Amazon Transcribe, providing a comprehensive overview
Demonstrates a simple transcription, supporting a practical understanding of the service
Suitable for learners interested in applying speech recognition to audio data
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