SpeechRecognitionIOS

This app demonstrates how to use Google Cloud Speech API and Apple on-device Speech library to recognize speech in live audio recording.

Prerequisites

• An API key for the Cloud Speech API (See the docs to learn more)
  • Create a project (or use an existing one) in the Cloud Console
  • Enable billing and the Speech API
  • Add your iOS bundle identifier to project (e.g com.SpeechRecognition.joshuvi.SpeechRecognitionIOS in my case)
  • Create an API key, and save this for later
• An OSX machine or emulator
• Xcode 13 or later - tested with Xcode 13.2
• Cocoapods version 1.0 or later

QuickStart

Ensure you have pods installed on your machine, to check use pod --version

❗ Do not run this command pod install because pods already exist, see Podfile & Podfile.lock

• clone this repo git clone https://github.com/Josh-Uvi/SpeechRecognitionIOS.git
• cd into this directory SpeechRecognitionIOS
• Open SpeechRecognitionIOS.xcworkspace with Xcode
• In Speech/SpeechRecognitionService.swift, replace YOUR_API_KEY with the API key obtained above.
• Build and run the app.
  • Use command cmd + R to build and run on iOS simulator/device
  • Alternatively, press the play button from xcode to start the build process
  • The build process will start up and run on Xcode simulator if you have one configured or on a device if connected
  • Say a few words and wait for the display to update when your speech is recognized.

DONE

• Apple Speech on-device library
• Google Speech-to-text API
• Life audio recording/streaming
• Offline live audio recording/streaming

TODO

• Pre-recorded audio file
• Display live audio recording on an OLED device
• Embed python script/program in the app, visit Python-Apple-support docs for more info
• Add some test cases i.e unit or E2E test cases
• Add self-hosted Speech Recognition server/engine, visit Kaldi Speech Recognition Server docs for more info
• Add CI/CD pipelines