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android / platform / tools / test / openhst / refs/heads/aml_con_341810060
commitc5db97cf13bf5c71aa46423af5489b790999d8e1[log] [tgz]
authorAndroid Build Coastguard Worker <[email protected]>Fri Jul 07 04:59:00 2023 +0000
committerAndroid Build Coastguard Worker <[email protected]>Fri Jul 07 04:59:00 2023 +0000
treecd1dcf22b63119f3354dd24f5be49e5cf4827f0e
parent0d83c705ca2d606a2d2070f6f9e281fe6e3698bc [diff]
parent1b5ad3e9ba5b82967bb9bfd2e63efc075ef3df75 [diff]
Snap for 10453563 from 1b5ad3e9ba5b82967bb9bfd2e63efc075ef3df75 to mainline-conscrypt-release

Change-Id: I932d4c30716bd9376ca7fb8bcd4a9cdd1246f2d9
tree: cd1dcf22b63119f3354dd24f5be49e5cf4827f0e
  1. docs/
  2. resources/
  3. .gitignore
  4. LICENSE
  5. Makefile
  6. OWNERS
  7. README.md
  8. requirements.txt
  9. start_venv.sh
  10. stress_test.proto
  11. stress_test.py
  12. stress_test_common.py
README.md

OpenHST : Open sourced Hotword Stress Test tool

Hotword stress test tool is a python script to measure the Google Hotword performance on Android devices with simple test set up. The goal of OpenHST is making Google Hotword Stress Test tool as an open source project so that Android Partners can easily adapt on their development.

Overview

Hotsord Stress Test concept diagram

Prerequsite

Before setting up your HST test environment, please make sure to meet following preconditions.

  • DSP hotword capability on test device (android handset)
  • ADB connection between the test server and android handset
  • Internet connection on android handset
  • No screen lock setting on android handset
  • Install Homebrew (Mac)
  • Install pyenv for Linux and Mac.
  • Install GNU make(3.81 above) on test machine (Linux, Mac, Windows)

Test environment setup

Please follow below steps to set up HST on your test machine and make sure that no error popped up during the installation.

Linux & Mac

  1. pyenv install 3.6.8
  2. pyenv shell 3.6.8
  3. make start
  4. chmod +x ./start_venv.sh
  5. source env/bin/activate
  6. ./start_venv.sh
  7. make proto-compile

Windows

  1. install python3.7.5
  2. make start
  3. .\env\Scripts\activate
  4. pip3 install -r requirements.txt
  5. Download protoc.ext (3.11.4 version) from github
  6. Decompress protoc-3.11.4-win64.zip and copy bin/protoc.exe to env/ folder
  7. Decompress protoc-3.11.4-win64.zip and copy include/* under env/include folder
  8. make proto-compile

Voice model training

Before conducting stress test, voice model should be trained with the recorded tts sound.

  1. Please follow the guide in “Train voice model” chapter in OEM Hotword Stress Test with OpenHST

Note for voice match with query phrases, please use enroll_with_queries as test_name for voice match enrollment.

Stress Test

Please refer to the guide in “Run Stress Test” chapter in OEM Hotword Stress Test with OpenHST and run the hotword stress test.

  1. python stress_test.py --test_name dsp_trigger_and_screen_off --num_iterations 3000 --output_root test_out
  2. Over 95% pass ratio from 3000 test cycle would be fair enough to declare that the device passed the hotowrd stress test

Contacts

Join our mailing list for discussions and announcements.