iosPicovoice Platform — iOS API

  • End-to-End Voice Platform
  • Offline Voice Recognition
  • Local Speech Recognition
  • Speech-to-Intent
  • Domain-Specific NLU
  • Wake Word Detection
  • iOS
  • Swift

This document outlines how to integrate Picovoice platform within an iOS application.

Adding Dependencies

Add the following dependencies to your project:

Usage

PicovoiceManager class manages all activities related to creating an audio input stream, feeding it into Picovoice engine, and invoking user-defined callbacks upon wake word detection and completion of intent inference. The class can be initialized as below:

let porcupineModelpath: String = ...
let keywordPath: String = ...
let porcupineSensitivity: Float32 = 0.5
let rhinoModelPath: String = ...
let contextPath: String = ...
let rhinoSensitivity: Float32 = 0.5
let manager = PicovoiceManager(
porcupineModelpath: porcupineModelpath,
keywordPath: keywordPath,
porcupineSensitivity: porcupineSensitivity,
onWakeWordDetection: {
// logic to execute upon wake word detection.
},
rhinoModelPath: rhinoModelPath,
contextPath: contextPath,
rhinoSensitivity: rhinoSensitivity,
onInference: {
// logic to execute upon intent inference completion.
}
)

when initialized input audio can be processed using manager.start(). The processing can be interrupted using manager.stop().