Build an AI based Speech Emotion Detector
6In this bootcamp, we are going to build a fully-functional Emotion detection App. By the end of this bootcamp, you will have a working model that you can customize and use in your project. The most important part of building an Emotion detection App is to have a solid workflow.
Learn about Emotion detection from speech with a focus on:
1. Basics of the process involved in the usage of state-of-the-art AI models & libraries like Whisper and RoBERTa for emotion detection.
2. Hands-on session to build your own "Emotion detection App" with complete solution source.
3. Learn how you can use kandi (pronounced like candy) to tap into millions of open-source assets to build your AI application.
𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆 - 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀
Everything you need for today's Bootcamp can be found in our Community! 𝗖𝗹𝗶𝗰𝗸 𝗵𝗲𝗿𝗲 𝘁𝗼 𝗮𝗰𝗰𝗲𝘀𝘀 𝘁𝗵𝗲 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗮𝗻𝗱 𝗮𝗽𝗽𝗹𝘆 𝗳𝗼𝗿 𝘆𝗼𝘂𝗿 𝗰𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗲𝘀 - https://community.openweaver.com/t/build-an-ai-based-speech-emotion-detector/60447/1?utm_source=youtube&utm_medium=social&utm_campaign=organic_community&utm_content=community_livebootcamps&utm_term=all_devs
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