Who is this for?
This is an introductory topic for developers who want to implement a multimodal pipeline for a Voice Assistant application and accelerate the performance on Android devices using KleidiAI and SME2.
What will you learn?
Upon completion of this Learning Path, you will be able to:
- Learn about the multimodal Voice Assistant pipeline and different components used.
- Learn about the functionality of ML components used and how these can be built and benchmarked on various platforms.
- Compile and run a multimodal Voice Assistant example based on Android OS.
- Optimize performance of multimodal Voice Assistant using KleidiAI and SME2.
Prerequisites
Before starting, you will need the following:
- An Android phone that supports the i8mm Arm architecture feature (8-bit integer matrix multiplication). This Learning Path was tested on a Google Pixel 8 Pro.
- A development machine with
Android Studio
installed.