Accelerate Voice Assistant performance with KleidiAI and SME2
Introduction
Set up your environment
Overview
Build the Voice Assistant
Run the Voice Assistant
KleidiAI
Next Steps

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About this Learning Path

Skill level:  Introductory
Reading time:  30 min
Last updated:  09 May 2025
Skill level:
  Introductory
Reading time:
  30 min
Last updated:
  09 May 2025
Author:Arnaud de Grandmaison, Arm
Arm IP:Cortex-A
Tags: Performance and Architecture Linux macOS Android Java Kotlin
Author:
  • Arnaud de Grandmaison, Arm
Arm IP:
Cortex-A
Tags:
Performance and Architecture Linux macOS Android Java Kotlin

Who is this for?

This is an introductory topic for developers who want to accelerate Voice Assistant performance on Android devices using KleidiAI and SME2.

What will you learn?

Upon completion of this learning path, you will be able to:

  • Compile and run a Voice Assistant Android application.
  • Optimize performance 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 Samsung Galaxy Z Flip 6.
  • A development machine with Android Studio installed.
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