cheetah_flutter 1.0.2

A Flutter plugin for Picovoice's Cheetah Speech-to-Text engine

Cheetah Binding for Flutter

Cheetah Speech-to-Text Engine

Made in Vancouver, Canada by Picovoice

Cheetah is an on-device speech-to-text engine. Cheetah is:

• Private; All voice processing runs locally.
• Accurate [1]
• Compact and Computationally-Efficient [2]
• Cross-Platform:
  • Linux (x86_64)
  • macOS (x86_64, arm64)
  • Windows (x86_64)
  • Android
  • iOS
  • Raspberry Pi (4, 3)
  • NVIDIA Jetson Nano

Compatibility

This binding is for running Cheetah on Flutter 2.8.1+ on the following platforms:

• Android 5.0+ (API 21+)
• iOS 9.0+

Installation

To start, you must have the Flutter SDK installed on your system. Once installed, you can run flutter doctor to determine any other missing requirements.

To add the Cheetah plugin to your app project, you can reference it in your pub.yaml:

dependencies:
  cheetah_flutter: ^<version>

AccessKey

Cheetah requires a valid Picovoice AccessKey at initialization. AccessKey acts as your credentials when using Cheetah SDKs. You can get your AccessKey for free. Make sure to keep your AccessKey secret. Signup or Login to Picovoice Console to get your AccessKey.

Permissions

To enable recording with the hardware's microphone, you must first ensure that you have enabled the proper permission on both iOS and Android.

On iOS, open your Info.plist and add the following line:

<key>NSMicrophoneUsageDescription</key>
<string>[Permission explanation]</string>

On Android, open your AndroidManifest.xml and add the following line:

<uses-permission android:name="android.permission.RECORD_AUDIO" />
<uses-permission android:name="android.permission.INTERNET" />

Cheetah Model File Integration

Add the Cheetah model file to your Flutter application by:

1. Either creating a model in Picovoice Console or using the default model in /lib/common/cheetah_params.pv.
2. Add the model file to an assets folder in your project directory.
3. Then add it to your pubspec.yaml:

flutter:
  assets:
    - assets/cheetah_model.pv

4. In this example, the path to the model file in code would then be as follows:

String modelPath = "assets/cheetah_model.pv";

Usage

n instance of Cheetah is created by passing a model file path into it's static constructor create:

import 'package:cheetah_flutter/cheetah.dart';

const accessKey = "{ACCESS_KEY}"  // AccessKey obtained from Picovoice Console (https://console.picovoice.ai/)

void createCheetah() async {
    try{
        _cheetah = await Cheetah.create(accessKey, '{CHEETAH_MODEL_PATH}');
    } on CheetahException catch (err) {
        // handle Cheetah init error
    }
}

Transcribe audio:

List<int> buffer = getAudioFrame();

String transcript = "";

while true {
    CheetahTranscript transcriptObj = await _cheetah.process(getAudioFrame());
    transcript += transcriptObj.transcript;

    if (transcriptObj.isEndpoint) {
        CheetahTranscript endpointTranscriptObj = await _cheetah.flush();
        transcript += endpointTranscriptObj.transcript;
    }
}

When done resources have to be released explicitly:

cheetah.delete();

Demo App

For example usage refer to our Flutter demo application.