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Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console.

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This is a self-paced lab that takes place in the Google Cloud console.

The Cloud Speech API lets you do speech to text transcription from audio files in over 80 languages. In this hands-on lab you’ll record your own audio file and send it to the Speech API for transcription.

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What's inside

Syllabus

Speech to Text Transcription with the Cloud Speech API

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Suitable for professionals looking to enhance their knowledge of speech recognition
Practical, hands-on course with real-world applications
Instructors from Google Cloud Training, experts in the field
Course covers a specific topic, Speech to Text Transcription

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Save Speech to Text Transcription with the Cloud Speech API 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 Speech to Text Transcription with the Cloud Speech API with these activities:
Complete the Cloud Speech API tutorial
The tutorial will walk you through the basics of using the Cloud Speech API.
Show steps
  • Go to the Cloud Speech API tutorial page
  • Follow the steps in the tutorial
Create a list of resources on the Cloud Speech API
Creating a list of resources will help you organize your learning and find information quickly.
Show steps
  • Find resources on the Cloud Speech API
  • Create a list of the resources
Create a sample text file
Creating a sample text file will help you familiarize yourself with the platform.
Show steps
  • Create a new text file
  • Enter some text into the file
  • Save the file
Four other activities
Expand to see all activities and additional details
Show all seven activities
Review basic audio processing techniques
Refreshing your knowledge of audio processing will help you understand how the Cloud Speech API works.
Browse courses on Audio Processing
Show steps
  • Read articles or tutorials on audio processing
  • Watch videos on audio processing
  • Practice audio processing techniques
Discuss the Cloud Speech API with other learners
Discussing the API with others will help you learn from their experiences and insights.
Show steps
  • Find a study group or online forum
  • Participate in discussions about the Cloud Speech API
Practice transcribing audio files
Practicing transcription will help you improve your accuracy and speed.
Show steps
  • Find some audio files online
  • Transcribe the files using the Cloud Speech API
  • Check your accuracy
Participate in a speech recognition competition
Participating in a competition will challenge you to improve your skills and knowledge.
Show steps
  • Find a speech recognition competition
  • Prepare for the competition
  • Participate in the competition

Career center

Learners who complete Speech to Text Transcription with the Cloud Speech API will develop knowledge and skills that may be useful to these careers:
Speech and Language Pathologist
Speech and Language Pathologists diagnose and treat individuals with speech, language, and swallowing difficulties. The Cloud Speech API enables Speech and Language Pathologists to analyze speech patterns and improve patient outcomes by providing real-time transcriptions of patient speech, allowing for more efficient and accurate diagnosis and treatment plans.
Audiologist
Audiologists diagnose and treat hearing and balance disorders. The Cloud Speech API can be used by Audiologists to analyze speech and sound patterns to diagnose and monitor hearing loss, tinnitus, and other auditory disorders. It can also be used to develop and evaluate hearing aids and other assistive listening devices.
Captioner
Captioners create closed captions for videos, ensuring that deaf and hard of hearing individuals can access and enjoy video content. The Cloud Speech API can be used by Captioners to transcribe audio into text, which can then be used to create closed captions.
Transcriptionist
Transcriptionists convert spoken words into written text. The Cloud Speech API can be used by Transcriptionists to transcribe audio recordings into text, which can be used for a variety of purposes, such as creating transcripts of meetings, interviews, and lectures.
Data Scientist
Data Scientists use data to solve business problems and make informed decisions. The Cloud Speech API can be used by Data Scientists to analyze speech data to identify patterns and trends, which can be used to develop new products and services.
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models. The Cloud Speech API can be used by Machine Learning Engineers to train and evaluate speech recognition models, which can be used to develop a variety of applications, such as voice assistants and automated customer service systems.
Software Engineer
Software Engineers design, develop, and maintain software applications. The Cloud Speech API can be used by Software Engineers to integrate speech recognition and transcription capabilities into their applications.
Product Manager
Product Managers manage the development and launch of new products and services. The Cloud Speech API can be used by Product Managers to gather feedback from users and identify opportunities for new features and products.
Marketing Manager
Marketing Managers plan and execute marketing campaigns to promote products and services. The Cloud Speech API can be used by Marketing Managers to analyze customer feedback and identify opportunities to improve marketing campaigns.
Sales Manager
Sales Managers lead sales teams and develop sales strategies. The Cloud Speech API can be used by Sales Managers to analyze customer conversations and identify opportunities to close deals.
Customer Success Manager
Customer Success Managers ensure that customers are satisfied with products and services. The Cloud Speech API can be used by Customer Success Managers to analyze customer feedback and identify opportunities to improve customer satisfaction.
Project Manager
Project Managers plan and execute projects to achieve specific goals. The Cloud Speech API can be used by Project Managers to track project progress and identify potential risks.
Operations Manager
Operations Managers oversee the day-to-day operations of a business. The Cloud Speech API can be used by Operations Managers to analyze operational data and identify opportunities to improve efficiency.
Financial Analyst
Financial Analysts analyze financial data to make investment decisions. The Cloud Speech API can be used by Financial Analysts to analyze financial news and identify investment opportunities.
Human Resources Manager
Human Resources Managers oversee the human resources department of a company. The Cloud Speech API can be used by Human Resources Managers to analyze employee feedback and identify opportunities to improve employee satisfaction.

Reading list

We've selected 12 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 Speech to Text Transcription with the Cloud Speech API.
Provides a comprehensive overview of the deep learning approach to automatic speech recognition. It covers a wide range of topics, including deep neural networks, recurrent neural networks, and convolutional neural networks. It valuable resource for students and researchers in the field of automatic speech recognition.
Comprehensive introduction to the field of speech and language processing, providing a solid foundation for understanding the principles and techniques used in this course..
Comprehensive introduction to the field of speech and language processing, providing a solid foundation for understanding the principles and techniques used in this course..
Provides a comprehensive overview of the field of deep learning for speech and language processing. It covers a wide range of topics, including speech recognition, natural language understanding, and machine translation. It valuable resource for students and researchers in the field of deep learning for speech and language processing.
Provides a practical introduction to natural language processing, with a focus on Python programming. It covers a wide range of topics, including text preprocessing, machine learning, and deep learning.
Provides a comprehensive overview of the field of speech and audio processing. It covers a wide range of topics, including speech production, speech perception, and speech technology. It valuable resource for students and researchers in the field of speech and audio processing.
Provides a comprehensive overview of the field of natural language processing. It covers a wide range of topics, including natural language understanding, natural language generation, and machine translation. It valuable resource for students and researchers in the field of natural language processing.
Provides a comprehensive overview of the field of digital speech processing. It covers a wide range of topics, including speech coding, speech enhancement, and speech recognition. It valuable resource for students and researchers in the field of digital speech processing.
Provides a comprehensive overview of the field of statistical speech processing. It covers a wide range of topics, including speech recognition, speech synthesis, and speaker recognition. It valuable resource for students and researchers in the field of statistical speech processing.
Provides a comprehensive overview of the field of speech and audio processing for communications. It covers a wide range of topics, including speech coding, speech enhancement, and speech recognition. It valuable resource for students and researchers in the field of speech and audio processing for communications.
Comprehensive reference on speech recognition algorithms, providing a detailed overview of the theory and practice of speech recognition.
Provides a practical introduction to speech processing for machine learning, with a focus on deep learning techniques.

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