Whisper GGML #

OpenAI Whisper ASR (Automatic Speech Recognition) for Flutter using Whisper.cpp.

This project is a custom implementation of Whisper C++.

Features #

• Automatic Speech Recognition integration for Flutter apps.
• Supports automatic model downloading and initialization. Can be configured to work fully offline with models from assets folder.
• Seamless iOS and Android support with optimized performance.
• Utilizes CORE ML for enhanced processing on iOS devices.

Installation #

To use this library in your Flutter project, follow these steps:

1. Add the library to your Flutter project's pubspec.yaml:

   dependencies:
     whisper_ggml: ^1.0.0
   

2. Run flutter pub get to install the package.

Usage #

To integrate Whisper ASR in your Flutter app:

1. Import the package:

   import 'package:whisper_ggml/whisper_ggml.dart';
   

2. Pick your model. Smaller models are more performant, but the accuracy may be lower. Recommended models are tiny and small.

   final model = WhisperModel.tiny;
   

3. Declare WhisperController and use it for transcription:

   final controller = WhisperController();
   final result = await whisperController.transcribe(
           model: model, /// Selected WhisperModel
           audioPath: audioPath, /// Path to .wav file
           lang: 'en', /// Language to transcribe
         );
   

4. Use the result variable to access the transcription result:

   if (result?.transcription.text != null) {
     /// Do something with the transcription
     print(result!.transcription.text);
   }
   

   }

Notes #

Transcription processing time is about 5x times faster when running in release mode.