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Leveraging Facial And Speech Recognition To Create Deeper Interaction On The Web
English English, Spanish, French (+3) [Machine translation]
3 Hours Course

Leveraging Facial And Speech Recognition To Create Deeper Interaction On The Web

Pre order $100 $35

The connections you create with your users can be made more meaningful and impactful by allowing them to use their face and voice rather than just their mouse and keyboard when using your website. By allowing users to communicate using these methods that come more naturally, you’re not only creating a more authentic and memorable experience but you’re also pulling the user deeper into your narrative.

In this course, we’ll explore what is possible with facial and speech recognition technology on the web. We’ll talk philosophically about when and why you might leverage this type of interaction style, and then dive deep into the tools and techniques that are available. We’ll walk step by step through a fully functional speech, face, and emotion recognition example and break down exactly what’s happening every step of the way.

We’ll cover broad concepts about what tools make this possible, and what role each has in the overall system. Then we’ll examine different types of strategies for accomplishing the type of analysis we want to and the pros and cons of each. We’ll review tools like Tensorflow.js, Face++, Watson, Google Speech, and more.

At the end of this class you’ll not only have a thorough understanding of the landscape of web technology for this type of interaction, but you’ll also be able to create your own experiences from start to finish.

This course is for all levels. Beginners, intermediate students, and professionals will be able to follow the step-by-step structure of the course. Parts of the course will involve writing code, so an understanding of web technology fundamentals will help.

Pre-order. This special price is available as you are buying the course in advance. The course will be available by the end of December. The price will increase as we get closer to the date and once it’s online it will be full price - so register now for a big discount.

(*) The times of the chapters as well as the total duration of the course are approximate and may have some variation

The subtitles are automatically generated, so the quality of the captions may vary.
Course Table of contents
What will you learn?

5 sections • 17 lectures • 3 hours

  • Introduction
    2 lectures 08:00 Mins
    • Who am I
      03:30 Mins
    • What we’ll be learning
      04:30 Mins
  • The landscape of AI on the web
    4 lectures 21:00 Mins
    • Client-side and Server-side
      03:00 Mins
    • Basics of TensorFlow
      08:00 Mins
    • Overview of available services
      05:00 Mins
    • Faces, emotions, and speech
      05:00 Mins
  • Setting up the experience
    5 lectures 1 Hour 20 Mins
    • Overview of the demo project
      15:00 Mins
    • Camera, image, and microphone capture
      18:00 Mins
    • Following face position
      17:00 Mins
    • Animating to emotions
      18:00 Mins
    • Visual feedback for speech
      12:00 Mins
  • Tapping into AI
    4 lectures 1 Hour
    • Connecting position data with TensorFlow
      18:30 Mins
    • Reading emotion with Face++
      20:00 Mins
    • Leveraging Watson for speech to text
      17:00 Mins
    • Takeaways on technique and limitations
      04:30 Mins
  • Conclusion
    2 lectures 17:00 Mins
    • Review key concepts
      12:00 Mins
    • Next steps and resources to learn more
      05:00 Mins
CTHDRL · CTHDRL
Work Work Work 
Work Work Work 

CTHDRL has been a partner to part-time.studio since day one. They are the only team I trust to take my studio's creative vision beyond a traditional digital output and deliver truly immersive experiences. Their knowledge base and drive to push the limits of what is possible in digital storytelling is what makes them the best at what they do. If you are interested in leveraging facial and speech recognition as a means to tell compelling digital stories you should definitely dig into this course.
Cam Diamond
Cam Diamond Founder / Creative Director at part-time.studio
Course details

Leveraging Facial And Speech Recognition To Create Deeper Interaction On The Web

Leveraging Facial And Speech Recognition To Create Deeper Interaction On The Web

By cthdrl

$35 65% off $100

This offer ends:

  • English
  • English, Spanish, French, Japanese, Italian, Portuguese (Machine translation)
  • Beginners, Intermediate & Professional
  • Access on mobile and Desktop
  • Full time access
  • Certificate of completion
About the Speaker
Learn from the best
  • cthdrl

    cthdrl

    CTHDRL Partner & Head of Technology

    @cthdrl_

    John Robson is a Creative Technologist with a passion for creating compelling experiences. Through his career he has led the technology departments of several prestigious creative agencies, building digital platforms for clients like Reebok, Mailchimp, Etsy, Amazon, and many others. John has the unusual combination of a keen eye for nuanced design matched with the ability to translate business objectives into robust architecture and scalable technologies. He is a natural community leader in the technology space, and has a proven ability to spot talent and build teams to create compelling, modern, and beautiful digital creations.

    cthdrl.co

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