Porcupine - iOS Quick Start
Platforms
- iOS (9.0+)
Requirements
Picovoice Account & AccessKey
Signup or Login to Picovoice Console to get your AccessKey
.
Make sure to keep your AccessKey
secret.
Quick Start
Setup
Install Xcode.
Install CocoaPods
Import the Porcupine iOS binding by adding the following line to
Podfile
:
pod 'Porcupine-iOS'
- Run the following from the project directory:
pod install
- Add the following to the app's
Info.plist
file to enable recording with an iOS device's microphone
<key>NSMicrophoneUsageDescription</key><string>[Permission explanation]</string>
Usage
Create an instance of PorcupineManager
that detects the included built-in wake words porcupine
and bumblebee
:
import Porcupinedo {let porcupineManager = try PorcupineManager(accessKey: "${ACCESS_KEY}",keywords: [Porcupine.BuiltInKeyword.porcupine, Porcupine.BuiltInKeyword.bumblebee],onDetection: wakeWordCallback)} catch { }
The wakeWordCallback
parameter is a function that will be invoked when Porcupine has detected one of the keywords.
let wakeWordCallback: ((Int32) -> Void) = { keywordIndex inif keywordIndex == 0 {// porcupine detected} else if keywordIndex == 1 {// bumblebee detected}}}
Start audio capture and wake word detection:
do {porcupineManager.start()} catch { }
Stop audio capture and processing with:
porcupineManager.stop()
Release resources explicitly when done with Porcupine:
porcupineManager.delete()
Custom Keywords
Create custom keywords using the Picovoice Console. Download the custom wake word
file (.ppn
) and include it in the app as a bundled resource (found by selecting in Build Phases > Copy Bundle
Resources). Then, get its path from the app bundle:
let keywordPath = Bundle.main.path(forResource: "${CUSTOM_KEYWORD}", ofType: "ppn")
And create an instance of PorcupineManager
that detects the custom keyword:
do {let porcupineManager = try PorcupineManager(accessKey: "${ACCESS_KEY}",keywordPath: keywordPath,onDetection: wakeWordCallback)} catch { }
Non-English Languages
Use the corresponding model file (.pv
) to detect non-English wake words. The model files for all supported languages
are available on the Porcupine GitHub repository.
Pass in the model file using the modelPath
input argument to change the detection language:
let modelPath = Bundle.main.path(forResource: "${MODEL_FILE}", ofType: "pv")do {let porcupineManager = try PorcupineManager(accessKey: "${ACCESS_KEY}",keywordPath: keywordPath,modelPath: modelPath,onDetection: wakeWordCallback)} catch { }
Demo
For the Porcupine iOS SDK, we offer demo applications that demonstrate how to use the wake word engine on real-time audio streams (i.e. microphone input).
Setup
Clone the Repository:
git clone --recurse-submodules https://github.com/Picovoice/porcupine.git
Usage
- Install dependencies:
cd porcupine/demo/ios/ForegroundApppod install
Replace
let accessKey = "${YOUR_ACCESS_KEY_HERE}"
in the file ViewController.swift with a validAccessKey
.Open the
PorcupineForegroundAppDemo.xcworkspace
and run the demo.
The demo detects the chosen keyword only when the application is in focus. To see an example of Porcupine in a background service, head over to our Github repository.