In this video, I walk you through my Meta Quest project featuring offline speech recognition using Unity Sentis and OpenAI’s Whisper model. Learn how I integrated Whisper for local transcription and optimized the app for performance.
📀 Download my Unity project for FREE from here:
/ project-source-107788463
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▬ Timestamps ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
0:00 - Intro
0:19 - Demo
1:25 - Project Overview
2:15 - Unity Sentis
2:49 - Installing Sentis
3:17 - Downloading Whisper
4:05 - Importing Whisper
4:37 - Whisper Overview
6:53 - Get Project Free!
7:05 - Project & Scene Setup
7:33 - Scripts
11:38 - Final Points
12:12 - Outro
▬ Useful Links ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
► Introducing Whisper: https://openai.com/index/whisper/
► Unity Sentis - product page: https://unity.com/products/sentis
► Drive better gameplay experiences on user devices with AI | GDC 2024:
• Drive better gameplay experiences on user ...
► Hugging Face - Unity Models: https://huggingface.co/unity
► Sentis 'Whisper Tiny' Model: https://huggingface.co/unity/sentis-w...
► Whisper paper: https://cdn.openai.com/papers/whisper...
► Mel Spectrograms Explained Easily:
• Mel Spectrograms Explained Easily
► https://github.com/LudicWorlds/unity-...
► 'Unity Sentis' Docs: https://docs.unity3d.com/Packages/com...
► 'Unity Sentis' Docs - Split inference over multiple frames:
https://docs.unity3d.com/Packages/com...
▬ Credits ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
► Music by Scott Buckley - released under CC-BY 4.0 - https://www.scottbuckley.com.au
#VR #AI #Unity #Sentis