Learning Objectives: After completing this course you will,
- Understand the Basics of Speech Emotion Detection.
- Be introduced to open-source libraries like Whisper, Transformers and RoBERTa models for Speech Recognition and Emotion Detection.
- Have a fully functional Speech Emotion Detection prototype that you can customize, showcase, share, using the existing source code.
Complete this course in 3 easy steps to earn your certificate!
STEP 1 : Watch the below self-guided tutorial.
STEP 2 : Practice as you watch the video by installing and working with the kandi 1-click solution kit.
STEP 3 : Complete the assessment to receive your certificate.
STEP 1 : TUTORIAL
Watch this self guided tutorial on ‘AI based Speech Emotion Detector’.
STEP 2 : PRACTICAL EXERCISE
Click the below button to access the Speech Emotion Detector kandi kit. This kit has all the required dependencies and resources you need to build your application.
Click on the 1-Click Installer button on the kandi kit page to install the Speech Emotion Detector kit. On installing and running this kit, you will have a working model that you can customize and use in your project.
STEP 3 : ASSESSMENT
Complete a short assessment and earn your certificate now.
Your assessment will be reviewed and you will receive a verified certificate via email within a week.
Reach out to us by replying below for any help you may need with this course.
We hope you enjoyed using kandi! Continue your learning journey with kandi
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