Add non-streaming ASR examples for Dart API (#1007)

+#!/usr/bin/env bash
+
+set -ex
+
+cd dart-api-examples
+
+pushd non-streaming-asr
+
+echo '----------VAD with paraformer----------'
+./run-vad-with-paraformer.sh
+rm -rf sherpa-onnx-*
+
+echo '----------NeMo transducer----------'
+./run-nemo-transducer.sh
+rm -rf sherpa-onnx-*
+
+echo '----------NeMo CTC----------'
+./run-nemo-ctc.sh
+rm -rf sherpa-onnx-*
+
+echo '----------TeleSpeech CTC----------'
+./run-telespeech-ctc.sh
+rm -rf sherpa-onnx-*
+
+echo '----------paraformer----------'
+./run-paraformer.sh
+rm -rf sherpa-onnx-*
+
+echo '----------whisper----------'
+./run-whisper.sh
+rm -rf sherpa-onnx-*
+
+echo '----------zipformer transducer----------'
+./run-zipformer-transducer.sh
+rm -rf sherpa-onnx-*
+
+popd
+
+pushd vad
+./run.sh
+rm *.onnx
+popd
+

+name: test-dart-package
+
+on:
+  schedule:
+    # minute (0-59)
+    # hour (0-23)
+    # day of the month (1-31)
+    # month (1-12)
+    # day of the week (0-6)
+    # nightly build at 15:50 UTC time every day
+    - cron: "50 15 * * *"
+
+  workflow_dispatch:
+
+concurrency:
+  group: test-dart-package-${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  test_dart_package:
+    name: ${{ matrix.os }}
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [macos-latest, ubuntu-latest] #, windows-latest]
+
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+
+      - name: Setup Flutter SDK
+        uses: flutter-actions/setup-flutter@v3
+        with:
+          channel: stable
+          version: latest
+
+      - name: Display flutter info
+        shell: bash
+        run: |
+          which flutter
+          which dart
+
+          flutter --version
+          dart --version
+          flutter doctor
+
+      - name: Run tests
+        shell: bash
+        run: |
+          .github/scripts/test-dart.sh

@@ -21,19 +21,24 @@ concurrency:
   cancel-in-progress: true
 
 jobs:
-  dart:
+  test_dart:
     name: ${{ matrix.os }}
     runs-on: ${{ matrix.os }}
     strategy:
       fail-fast: false
       matrix:
-        os: [macos-latest, ubuntu-latest] #, windows-latest]
+        os: [ubuntu-latest]
 
     steps:
       - uses: actions/checkout@v4
         with:
           fetch-depth: 0
 
+      - name: ccache
+        uses: hendrikmuhs/ccache-action@v1.2
+        with:
+          key: ${{ matrix.os }}-dart
+
       - name: Setup Flutter SDK
         uses: flutter-actions/setup-flutter@v3
         with:
@@ -50,11 +55,39 @@ jobs:
           dart --version
           flutter doctor
 
+      - name: Build sherpa-onnx
+        shell: bash
+        run: |
+          export CMAKE_CXX_COMPILER_LAUNCHER=ccache
+          export PATH="/usr/lib/ccache:/usr/local/opt/ccache/libexec:$PATH"
+          cmake --version
+          mkdir build
+
+          cd build
+
+          cmake \
+            -D BUILD_SHARED_LIBS=ON \
+            -DSHERPA_ONNX_ENABLE_PORTAUDIO=OFF \
+            -DSHERPA_ONNX_ENABLE_WEBSOCKET=OFF \
+            -DBUILD_ESPEAK_NG_EXE=OFF \
+            -DSHERPA_ONNX_ENABLE_BINARY=OFF \
+            -DCMAKE_INSTALL_PREFIX=./install \
+            ..
+          make -j install
+
+      - name: Copy libs
+        shell: bash
+        run: |
+          cp -v build/install/lib/lib* ./sherpa-onnx/flutter/linux/
+
+          echo "--------------------"
+
+          ls -lh ./sherpa-onnx/flutter/linux/
+
       - name: Run tests
         shell: bash
         run: |
-          cd dart-api-examples
+          cp scripts/dart/vad-pubspec.yaml dart-api-examples/vad/pubspec.yaml
+          cp scripts/dart/non-streaming-asr-pubspec.yaml dart-api-examples/non-streaming-asr/pubspec.yaml
 
-          pushd vad
-          ./run.sh
-          popd
+          .github/scripts/test-dart.sh

+!run*.sh

+# https://dart.dev/guides/libraries/private-files
+# Created by `dart pub`
+.dart_tool/

+## 1.0.0
+
+- Initial version.

+# Introduction
+
+This folder contains examples for non-streaming ASR with Dart API.
+
+| File | Description|
+|------|------------|
+|[./bin/nemo-ctc.dart](./bin/nemo-ctc.dart)| Use a NeMo Ctc model for speech recognition. See [./run-nemo-ctc.sh](./run-nemo-ctc.sh)|
+|[./bin/nemo-transducer.dart](./bin/nemo-transducer.dart)| Use a NeMo transducer model for speech recognition. See [./run-nemo-transducer.sh](./run-nemo-transducer.sh)|
+|[./bin/paraformer.dart](./bin/paraformer.dart)|Use a paraformer model for speech recognition. See [./run-paraformer.sh](./run-paraformer.sh)|
+|[./bin/telespeech-ctc.dart](./bin/telespeech-ctc.dart)| Use models from [Tele-AI/TeleSpeech-ASR](https://github.com/Tele-AI/TeleSpeech-ASR) for speech recognition. See [./run-telespeech-ctc.sh](./run-telespeech-ctc.sh)|
+|[./bin/whisper.dart](./bin/whisper.dart)| Use whisper for speech recognition. See [./run-whisper.sh](./run-whisper.sh)|
+|[./bin/zipformer-transducer.dart](./bin/zipformer-transducer.dart)| Use a zipformer transducer for speech recognition. See [./run-zipformer-transducer.sh](./run-zipformer-transducer.sh)|
+|[./bin/vad-with-paraformer.dart](./bin/vad-with-paraformer.dart)| Use a [silero-vad](https://github.com/snakers4/silero-vad) with paraformer for speech recognition. See [./run-vad-with-paraformer.sh](./run-vad-with-paraformer.sh)|
+

+# This file configures the static analysis results for your project (errors,
+# warnings, and lints).
+#
+# This enables the 'recommended' set of lints from `package:lints`.
+# This set helps identify many issues that may lead to problems when running
+# or consuming Dart code, and enforces writing Dart using a single, idiomatic
+# style and format.
+#
+# If you want a smaller set of lints you can change this to specify
+# 'package:lints/core.yaml'. These are just the most critical lints
+# (the recommended set includes the core lints).
+# The core lints are also what is used by pub.dev for scoring packages.
+
+include: package:lints/recommended.yaml
+
+# Uncomment the following section to specify additional rules.
+
+# linter:
+#   rules:
+#     - camel_case_types
+
+# analyzer:
+#   exclude:
+#     - path/to/excluded/files/**
+
+# For more information about the core and recommended set of lints, see
+# https://dart.dev/go/core-lints
+
+# For additional information about configuring this file, see
+# https://dart.dev/guides/language/analysis-options

+../../vad/bin/init.dart
\ No newline at end of file

+import 'dart:io';
+import 'dart:typed_data';
+
+import 'package:args/args.dart';
+import 'package:sherpa_onnx/sherpa_onnx.dart' as sherpa_onnx;
+
+import './init.dart';
+
+void main(List<String> arguments) async {
+  await initSherpaOnnx();
+
+  final parser = ArgParser()
+    ..addOption('model', help: 'Path to the NeMo CTC model')
+    ..addOption('tokens', help: 'Path to tokens.txt')
+    ..addOption('input-wav', help: 'Path to input.wav to transcribe');
+
+  final res = parser.parse(arguments);
+  if (res['model'] == null ||
+      res['tokens'] == null ||
+      res['input-wav'] == null) {
+    print(parser.usage);
+    exit(1);
+  }
+
+  final model = res['model'] as String;
+  final tokens = res['tokens'] as String;
+  final inputWav = res['input-wav'] as String;
+
+  final nemo = sherpa_onnx.OfflineNemoEncDecCtcModelConfig(model: model);
+
+  final modelConfig = sherpa_onnx.OfflineModelConfig(
+    nemoCtc: nemo,
+    tokens: tokens,
+    debug: true,
+    numThreads: 1,
+  );
+  final config = sherpa_onnx.OfflineRecognizerConfig(model: modelConfig);
+  final recognizer = sherpa_onnx.OfflineRecognizer(config);
+
+  final waveData = sherpa_onnx.readWave(inputWav);
+  final stream = recognizer.createStream();
+
+  stream.acceptWaveform(
+      samples: waveData.samples, sampleRate: waveData.sampleRate);
+  recognizer.decode(stream);
+
+  final result = recognizer.getResult(stream);
+  print(result.text);
+
+  stream.free();
+  recognizer.free();
+}

+import 'dart:io';
+import 'dart:typed_data';
+
+import 'package:args/args.dart';
+import 'package:sherpa_onnx/sherpa_onnx.dart' as sherpa_onnx;
+
+import './init.dart';
+
+void main(List<String> arguments) async {
+  await initSherpaOnnx();
+
+  final parser = ArgParser()
+    ..addOption('encoder', help: 'Path to the encoder model')
+    ..addOption('decoder', help: 'Path to decoder model')
+    ..addOption('joiner', help: 'Path to joiner model')
+    ..addOption('tokens', help: 'Path to tokens.txt')
+    ..addOption('input-wav', help: 'Path to input.wav to transcribe');
+
+  final res = parser.parse(arguments);
+  if (res['encoder'] == null ||
+      res['decoder'] == null ||
+      res['joiner'] == null ||
+      res['tokens'] == null ||
+      res['input-wav'] == null) {
+    print(parser.usage);
+    exit(1);
+  }
+
+  final encoder = res['encoder'] as String;
+  final decoder = res['decoder'] as String;
+  final joiner = res['joiner'] as String;
+  final tokens = res['tokens'] as String;
+  final inputWav = res['input-wav'] as String;
+
+  final transducer = sherpa_onnx.OfflineTransducerModelConfig(
+    encoder: encoder,
+    decoder: decoder,
+    joiner: joiner,
+  );
+
+  final modelConfig = sherpa_onnx.OfflineModelConfig(
+    transducer: transducer,
+    tokens: tokens,
+    debug: true,
+    numThreads: 1,
+  );
+  final config = sherpa_onnx.OfflineRecognizerConfig(model: modelConfig);
+  final recognizer = sherpa_onnx.OfflineRecognizer(config);
+
+  final waveData = sherpa_onnx.readWave(inputWav);
+  final stream = recognizer.createStream();
+
+  stream.acceptWaveform(
+      samples: waveData.samples, sampleRate: waveData.sampleRate);
+  recognizer.decode(stream);
+
+  final result = recognizer.getResult(stream);
+  print(result.text);
+
+  stream.free();
+  recognizer.free();
+}

+import 'dart:io';
+import 'dart:typed_data';
+
+import 'package:args/args.dart';
+import 'package:sherpa_onnx/sherpa_onnx.dart' as sherpa_onnx;
+
+import './init.dart';
+
+void main(List<String> arguments) async {
+  await initSherpaOnnx();
+
+  final parser = ArgParser()
+    ..addOption('model', help: 'Path to the paraformer model')
+    ..addOption('tokens', help: 'Path to tokens.txt')
+    ..addOption('input-wav', help: 'Path to input.wav to transcribe');
+
+  final res = parser.parse(arguments);
+  if (res['model'] == null ||
+      res['tokens'] == null ||
+      res['input-wav'] == null) {
+    print(parser.usage);
+    exit(1);
+  }
+
+  final model = res['model'] as String;
+  final tokens = res['tokens'] as String;
+  final inputWav = res['input-wav'] as String;
+
+  final paraformer = sherpa_onnx.OfflineParaformerModelConfig(
+    model: model,
+  );
+
+  final modelConfig = sherpa_onnx.OfflineModelConfig(
+    paraformer: paraformer,
+    tokens: tokens,
+    debug: true,
+    numThreads: 1,
+    modelType: 'paraformer',
+  );
+  final config = sherpa_onnx.OfflineRecognizerConfig(model: modelConfig);
+  final recognizer = sherpa_onnx.OfflineRecognizer(config);
+
+  final waveData = sherpa_onnx.readWave(inputWav);
+  final stream = recognizer.createStream();
+
+  stream.acceptWaveform(
+      samples: waveData.samples, sampleRate: waveData.sampleRate);
+  recognizer.decode(stream);
+
+  final result = recognizer.getResult(stream);
+  print(result.text);
+
+  stream.free();
+  recognizer.free();
+}

+import 'dart:io';
+import 'dart:typed_data';
+
+import 'package:args/args.dart';
+import 'package:sherpa_onnx/sherpa_onnx.dart' as sherpa_onnx;
+
+import './init.dart';
+
+void main(List<String> arguments) async {
+  await initSherpaOnnx();
+
+  final parser = ArgParser()
+    ..addOption('model', help: 'Path to the telespeech CTC model')
+    ..addOption('tokens', help: 'Path to tokens.txt')
+    ..addOption('input-wav', help: 'Path to input.wav to transcribe');
+
+  final res = parser.parse(arguments);
+  if (res['model'] == null ||
+      res['tokens'] == null ||
+      res['input-wav'] == null) {
+    print(parser.usage);
+    exit(1);
+  }
+
+  final model = res['model'] as String;
+  final tokens = res['tokens'] as String;
+  final inputWav = res['input-wav'] as String;
+
+  final modelConfig = sherpa_onnx.OfflineModelConfig(
+    telespeechCtc: model,
+    tokens: tokens,
+    debug: true,
+    numThreads: 1,
+    modelType: 'telespeech_ctc',
+  );
+  final config = sherpa_onnx.OfflineRecognizerConfig(model: modelConfig);
+  final recognizer = sherpa_onnx.OfflineRecognizer(config);
+
+  final waveData = sherpa_onnx.readWave(inputWav);
+  final stream = recognizer.createStream();
+
+  stream.acceptWaveform(
+      samples: waveData.samples, sampleRate: waveData.sampleRate);
+  recognizer.decode(stream);
+
+  final result = recognizer.getResult(stream);
+  print(result.text);
+
+  stream.free();
+  recognizer.free();
+}

+import 'dart:io';
+import 'dart:typed_data';
+
+import 'package:args/args.dart';
+import 'package:sherpa_onnx/sherpa_onnx.dart' as sherpa_onnx;
+
+import './init.dart';
+
+void main(List<String> arguments) async {
+  await initSherpaOnnx();
+
+  final parser = ArgParser()
+    ..addOption('silero-vad', help: 'Path to silero_vad.onnx')
+    ..addOption('model', help: 'Path to the paraformer model')
+    ..addOption('tokens', help: 'Path to tokens.txt')
+    ..addOption('input-wav', help: 'Path to input.wav to transcribe');
+
+  final res = parser.parse(arguments);
+  if (res['silero-vad'] == null ||
+      res['model'] == null ||
+      res['tokens'] == null ||
+      res['input-wav'] == null) {
+    print(parser.usage);
+    exit(1);
+  }
+
+  final sileroVad = res['silero-vad'] as String;
+  final model = res['model'] as String;
+  final tokens = res['tokens'] as String;
+  final inputWav = res['input-wav'] as String;
+
+  final paraformer = sherpa_onnx.OfflineParaformerModelConfig(
+    model: model,
+  );
+
+  final modelConfig = sherpa_onnx.OfflineModelConfig(
+    paraformer: paraformer,
+    tokens: tokens,
+    debug: true,
+    numThreads: 1,
+    modelType: 'paraformer',
+  );
+  final config = sherpa_onnx.OfflineRecognizerConfig(model: modelConfig);
+  final recognizer = sherpa_onnx.OfflineRecognizer(config);
+
+  final sileroVadConfig = sherpa_onnx.SileroVadModelConfig(
+    model: sileroVad,
+    minSilenceDuration: 0.25,
+    minSpeechDuration: 0.5,
+  );
+
+  final vadConfig = sherpa_onnx.VadModelConfig(
+    sileroVad: sileroVadConfig,
+    numThreads: 1,
+    debug: true,
+  );
+
+  final vad = sherpa_onnx.VoiceActivityDetector(
+      config: vadConfig, bufferSizeInSeconds: 10);
+
+  final waveData = sherpa_onnx.readWave(inputWav);
+
+  int numSamples = waveData.samples.length;
+  int numIter = numSamples ~/ vadConfig.sileroVad.windowSize;
+
+  for (int i = 0; i != numIter; ++i) {
+    int start = i * vadConfig.sileroVad.windowSize;
+    vad.acceptWaveform(Float32List.sublistView(
+        waveData.samples, start, start + vadConfig.sileroVad.windowSize));
+
+    if (vad.isDetected()) {
+      while (!vad.isEmpty()) {
+        final stream = recognizer.createStream();
+        final segment = vad.front();
+        stream.acceptWaveform(
+            samples: segment.samples, sampleRate: waveData.sampleRate);
+        recognizer.decode(stream);
+
+        final result = recognizer.getResult(stream);
+
+        final startTime = segment.start * 1.0 / waveData.sampleRate;
+        final duration = segment.samples.length * 1.0 / waveData.sampleRate;
+        final stopTime = startTime + duration;
+        if (result.text != '') {
+          print(
+              '${startTime.toStringAsPrecision(4)} -- ${stopTime.toStringAsPrecision(4)}: ${result.text}');
+        }
+
+        stream.free();
+        vad.pop();
+      }
+    }
+  }
+
+  vad.free();
+  recognizer.free();
+}

+import 'dart:io';
+import 'dart:typed_data';
+
+import 'package:args/args.dart';
+import 'package:sherpa_onnx/sherpa_onnx.dart' as sherpa_onnx;
+
+import './init.dart';
+
+void main(List<String> arguments) async {
+  await initSherpaOnnx();
+
+  final parser = ArgParser()
+    ..addOption('encoder', help: 'Path to the whisper encoder model')
+    ..addOption('decoder', help: 'Path to whisper decoder model')
+    ..addOption('tokens', help: 'Path to tokens.txt')
+    ..addOption('input-wav', help: 'Path to input.wav to transcribe');
+
+  final res = parser.parse(arguments);
+  if (res['encoder'] == null ||
+      res['decoder'] == null ||
+      res['tokens'] == null ||
+      res['input-wav'] == null) {
+    print(parser.usage);
+    exit(1);
+  }
+
+  final encoder = res['encoder'] as String;
+  final decoder = res['decoder'] as String;
+  final tokens = res['tokens'] as String;
+  final inputWav = res['input-wav'] as String;
+
+  final whisper = sherpa_onnx.OfflineWhisperModelConfig(
+    encoder: encoder,
+    decoder: decoder,
+  );
+
+  final modelConfig = sherpa_onnx.OfflineModelConfig(
+    whisper: whisper,
+    tokens: tokens,
+    modelType: 'whisper',
+    debug: false,
+    numThreads: 1,
+  );
+  final config = sherpa_onnx.OfflineRecognizerConfig(model: modelConfig);
+  final recognizer = sherpa_onnx.OfflineRecognizer(config);
+
+  final waveData = sherpa_onnx.readWave(inputWav);
+  final stream = recognizer.createStream();
+
+  stream.acceptWaveform(
+      samples: waveData.samples, sampleRate: waveData.sampleRate);
+  recognizer.decode(stream);
+
+  final result = recognizer.getResult(stream);
+  print(result.text);
+
+  stream.free();
+  recognizer.free();
+}

+import 'dart:io';
+import 'dart:typed_data';
+
+import 'package:args/args.dart';
+import 'package:sherpa_onnx/sherpa_onnx.dart' as sherpa_onnx;
+
+import './init.dart';
+
+void main(List<String> arguments) async {
+  await initSherpaOnnx();
+
+  final parser = ArgParser()
+    ..addOption('encoder', help: 'Path to the encoder model')
+    ..addOption('decoder', help: 'Path to decoder model')
+    ..addOption('joiner', help: 'Path to joiner model')
+    ..addOption('tokens', help: 'Path to tokens.txt')
+    ..addOption('input-wav', help: 'Path to input.wav to transcribe');
+
+  final res = parser.parse(arguments);
+  if (res['encoder'] == null ||
+      res['decoder'] == null ||
+      res['joiner'] == null ||
+      res['tokens'] == null ||
+      res['input-wav'] == null) {
+    print(parser.usage);
+    exit(1);
+  }
+
+  final encoder = res['encoder'] as String;
+  final decoder = res['decoder'] as String;
+  final joiner = res['joiner'] as String;
+  final tokens = res['tokens'] as String;
+  final inputWav = res['input-wav'] as String;
+
+  final transducer = sherpa_onnx.OfflineTransducerModelConfig(
+    encoder: encoder,
+    decoder: decoder,
+    joiner: joiner,
+  );
+
+  final modelConfig = sherpa_onnx.OfflineModelConfig(
+    transducer: transducer,
+    tokens: tokens,
+    debug: true,
+    numThreads: 1,
+  );
+  final config = sherpa_onnx.OfflineRecognizerConfig(model: modelConfig);
+  final recognizer = sherpa_onnx.OfflineRecognizer(config);
+
+  final waveData = sherpa_onnx.readWave(inputWav);
+  final stream = recognizer.createStream();
+
+  stream.acceptWaveform(
+      samples: waveData.samples, sampleRate: waveData.sampleRate);
+  recognizer.decode(stream);
+
+  final result = recognizer.getResult(stream);
+  print(result.text);
+
+  stream.free();
+  recognizer.free();
+}

+# Generated by pub
+# See https://dart.dev/tools/pub/glossary#lockfile
+packages:
+  args:
+    dependency: "direct main"
+    description:
+      name: args
+      sha256: "7cf60b9f0cc88203c5a190b4cd62a99feea42759a7fa695010eb5de1c0b2252a"
+      url: "https://pub.dev"
+    source: hosted
+    version: "2.5.0"
+  characters:
+    dependency: transitive
+    description:
+      name: characters
+      sha256: "04a925763edad70e8443c99234dc3328f442e811f1d8fd1a72f1c8ad0f69a605"
+      url: "https://pub.dev"
+    source: hosted
+    version: "1.3.0"
+  collection:
+    dependency: transitive
+    description:
+      name: collection
+      sha256: ee67cb0715911d28db6bf4af1026078bd6f0128b07a5f66fb2ed94ec6783c09a
+      url: "https://pub.dev"
+    source: hosted
+    version: "1.18.0"
+  ffi:
+    dependency: transitive
+    description:
+      name: ffi
+      sha256: "493f37e7df1804778ff3a53bd691d8692ddf69702cf4c1c1096a2e41b4779e21"
+      url: "https://pub.dev"
+    source: hosted
+    version: "2.1.2"
+  flutter:
+    dependency: transitive
+    description: flutter
+    source: sdk
+    version: "0.0.0"
+  lints:
+    dependency: "direct dev"
+    description:
+      name: lints
+      sha256: cbf8d4b858bb0134ef3ef87841abdf8d63bfc255c266b7bf6b39daa1085c4290
+      url: "https://pub.dev"
+    source: hosted
+    version: "3.0.0"
+  material_color_utilities:
+    dependency: transitive
+    description:
+      name: material_color_utilities
+      sha256: "0e0a020085b65b6083975e499759762399b4475f766c21668c4ecca34ea74e5a"
+      url: "https://pub.dev"
+    source: hosted
+    version: "0.8.0"
+  meta:
+    dependency: transitive
+    description:
+      name: meta
+      sha256: "7687075e408b093f36e6bbf6c91878cc0d4cd10f409506f7bc996f68220b9136"
+      url: "https://pub.dev"
+    source: hosted
+    version: "1.12.0"
+  path:
+    dependency: "direct main"
+    description:
+      name: path
+      sha256: "087ce49c3f0dc39180befefc60fdb4acd8f8620e5682fe2476afd0b3688bb4af"
+      url: "https://pub.dev"
+    source: hosted
+    version: "1.9.0"
+  sherpa_onnx:
+    dependency: "direct main"
+    description:
+      name: sherpa_onnx
+      sha256: e45894f81e7c854ca96d678bcab5303036e884a7c90e9a6c4ec04c7b1ee215a8
+      url: "https://pub.dev"
+    source: hosted
+    version: "1.9.29"
+  sky_engine:
+    dependency: transitive
+    description: flutter
+    source: sdk
+    version: "0.0.99"
+  vector_math:
+    dependency: transitive
+    description:
+      name: vector_math
+      sha256: "80b3257d1492ce4d091729e3a67a60407d227c27241d6927be0130c98e741803"
+      url: "https://pub.dev"
+    source: hosted
+    version: "2.1.4"
+sdks:
+  dart: ">=3.4.0 <4.0.0"
+  flutter: ">=3.3.0"

+name: non_streaming_asr
+description: >
+  This example demonstrates how to use the Dart API for Non-streaming speech recognition. Specifically, we use the following models as examples, whisper, zipformer, and paraformer.
+
+version: 1.0.0
+# repository: https://github.com/my_org/my_repo
+
+environment:
+  sdk: ^3.4.0
+
+# Add regular dependencies here.
+dependencies:
+  sherpa_onnx: ^1.9.29
+  path: ^1.9.0
+  args: ^2.5.0
+
+dev_dependencies:
+  lints: ^3.0.0

+#!/usr/bin/env bash
+
+set -ex
+
+dart pub get
+
+if [ ! -f ./sherpa-onnx-nemo-fast-conformer-ctc-be-de-en-es-fr-hr-it-pl-ru-uk-20k/tokens.txt ]; then
+  curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-nemo-fast-conformer-ctc-be-de-en-es-fr-hr-it-pl-ru-uk-20k.tar.bz2
+  tar xvf sherpa-onnx-nemo-fast-conformer-ctc-be-de-en-es-fr-hr-it-pl-ru-uk-20k.tar.bz2
+  rm sherpa-onnx-nemo-fast-conformer-ctc-be-de-en-es-fr-hr-it-pl-ru-uk-20k.tar.bz2
+fi
+
+dart run \
+  ./bin/nemo-ctc.dart \
+  --model ./sherpa-onnx-nemo-fast-conformer-ctc-be-de-en-es-fr-hr-it-pl-ru-uk-20k/model.onnx \
+  --tokens ./sherpa-onnx-nemo-fast-conformer-ctc-be-de-en-es-fr-hr-it-pl-ru-uk-20k/tokens.txt \
+  --input-wav ./sherpa-onnx-nemo-fast-conformer-ctc-be-de-en-es-fr-hr-it-pl-ru-uk-20k/test_wavs/de-german.wav

+#!/usr/bin/env bash
+
+set -ex
+
+dart pub get
+
+if [ ! -f ./sherpa-onnx-nemo-fast-conformer-transducer-be-de-en-es-fr-hr-it-pl-ru-uk-20k/tokens.txt ]; then
+  curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-nemo-fast-conformer-transducer-be-de-en-es-fr-hr-it-pl-ru-uk-20k.tar.bz2
+
+  tar xvf sherpa-onnx-nemo-fast-conformer-transducer-be-de-en-es-fr-hr-it-pl-ru-uk-20k.tar.bz2
+  rm sherpa-onnx-nemo-fast-conformer-transducer-be-de-en-es-fr-hr-it-pl-ru-uk-20k.tar.bz2
+fi
+
+dart run \
+  ./bin/nemo-transducer.dart \
+  --encoder ./sherpa-onnx-nemo-fast-conformer-transducer-be-de-en-es-fr-hr-it-pl-ru-uk-20k/encoder.onnx \
+  --decoder ./sherpa-onnx-nemo-fast-conformer-transducer-be-de-en-es-fr-hr-it-pl-ru-uk-20k/decoder.onnx \
+  --joiner ./sherpa-onnx-nemo-fast-conformer-transducer-be-de-en-es-fr-hr-it-pl-ru-uk-20k/joiner.onnx \
+  --tokens ./sherpa-onnx-nemo-fast-conformer-transducer-be-de-en-es-fr-hr-it-pl-ru-uk-20k/tokens.txt \
+  --input-wav ./sherpa-onnx-nemo-fast-conformer-transducer-be-de-en-es-fr-hr-it-pl-ru-uk-20k/test_wavs/de-german.wav

+#!/usr/bin/env bash
+
+set -ex
+
+dart pub get
+
+if [ ! -f ./sherpa-onnx-paraformer-zh-2023-03-28/tokens.txt ]; then
+  curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-paraformer-zh-2023-03-28.tar.bz2
+
+  tar xvf sherpa-onnx-paraformer-zh-2023-03-28.tar.bz2
+  rm sherpa-onnx-paraformer-zh-2023-03-28.tar.bz2
+fi
+
+dart run \
+  ./bin/paraformer.dart \
+  --model ./sherpa-onnx-paraformer-zh-2023-03-28/model.int8.onnx \
+  --tokens ./sherpa-onnx-paraformer-zh-2023-03-28/tokens.txt \
+  --input-wav ./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/3-sichuan.wav

+#!/usr/bin/env bash
+
+set -ex
+
+dart pub get
+
+if [ ! -f ./sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04/tokens.txt ]; then
+  curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04.tar.bz2
+
+  tar xvf sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04.tar.bz2
+  rm sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04.tar.bz2
+fi
+
+dart run \
+  ./bin/telespeech-ctc.dart \
+  --model ./sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04/model.int8.onnx \
+  --tokens ./sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04/tokens.txt \
+  --input-wav ./sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04/test_wavs/3-sichuan.wav

+#!/usr/bin/env bash
+
+set -ex
+
+dart pub get
+
+if [[ ! -f ./silero_vad.onnx ]]; then
+  curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/silero_vad.onnx
+fi
+
+if [[ ! -f ./lei-jun-test.wav ]]; then
+  curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/lei-jun-test.wav
+fi
+
+if [ ! -f ./sherpa-onnx-paraformer-zh-2023-03-28/tokens.txt ]; then
+  curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-paraformer-zh-2023-03-28.tar.bz2
+
+  tar xvf sherpa-onnx-paraformer-zh-2023-03-28.tar.bz2
+  rm sherpa-onnx-paraformer-zh-2023-03-28.tar.bz2
+fi
+
+dart run \
+  ./bin/vad-with-paraformer.dart \
+  --silero-vad ./silero_vad.onnx \
+  --model ./sherpa-onnx-paraformer-zh-2023-03-28/model.int8.onnx \
+  --tokens ./sherpa-onnx-paraformer-zh-2023-03-28/tokens.txt \
+  --input-wav ./lei-jun-test.wav

+#!/usr/bin/env bash
+
+set -ex
+
+dart pub get
+
+if [ ! -f ./sherpa-onnx-whisper-tiny.en/tiny.en-tokens.txt ]; then
+  curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-whisper-tiny.en.tar.bz2
+
+  tar xvf sherpa-onnx-whisper-tiny.en.tar.bz2
+  rm sherpa-onnx-whisper-tiny.en.tar.bz2
+fi
+
+dart run \
+  ./bin/whisper.dart \
+  --encoder ./sherpa-onnx-whisper-tiny.en/tiny.en-encoder.int8.onnx \
+  --decoder ./sherpa-onnx-whisper-tiny.en/tiny.en-decoder.int8.onnx \
+  --tokens ./sherpa-onnx-whisper-tiny.en/tiny.en-tokens.txt \
+  --input-wav ./sherpa-onnx-whisper-tiny.en/test_wavs/0.wav

+#!/usr/bin/env bash
+
+set -ex
+
+dart pub get
+
+if [ ! -f ./sherpa-onnx-zipformer-gigaspeech-2023-12-12/tokens.txt ]; then
+  curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-zipformer-gigaspeech-2023-12-12.tar.bz2
+
+  tar xvf sherpa-onnx-zipformer-gigaspeech-2023-12-12.tar.bz2
+  rm sherpa-onnx-zipformer-gigaspeech-2023-12-12.tar.bz2
+fi
+
+dart run \
+  ./bin/zipformer-transducer.dart \
+  --encoder ./sherpa-onnx-zipformer-gigaspeech-2023-12-12/encoder-epoch-30-avg-1.int8.onnx \
+  --decoder ./sherpa-onnx-zipformer-gigaspeech-2023-12-12/decoder-epoch-30-avg-1.onnx \
+  --joiner ./sherpa-onnx-zipformer-gigaspeech-2023-12-12/joiner-epoch-30-avg-1.int8.onnx \
+  --tokens ./sherpa-onnx-zipformer-gigaspeech-2023-12-12/tokens.txt \
+  --input-wav ./sherpa-onnx-zipformer-gigaspeech-2023-12-12/test_wavs/1221-135766-0001.wav

+import 'dart:io';
+import 'dart:isolate';
+import 'package:path/path.dart' as p;
+import 'package:sherpa_onnx/sherpa_onnx.dart' as sherpa_onnx;
+
+Future<void> initSherpaOnnx() async {
+  var uri = await Isolate.resolvePackageUri(
+      Uri.parse('package:sherpa_onnx/sherpa_onnx.dart'));
+
+  if (uri == null) {
+    print('File not found');
+    exit(1);
+  }
+
+  String platform = '';
+
+  if (Platform.isMacOS) {
+    platform = 'macos';
+  } else if (Platform.isLinux) {
+    platform = 'linux';
+  } else if (Platform.isWindows) {
+    platform = 'windows';
+  } else {
+    throw UnsupportedError('Unknown platform: ${Platform.operatingSystem}');
+  }
+
+  final libPath = p.join(p.dirname(p.fromUri(uri)), '..', platform);
+  sherpa_onnx.initBindings(libPath);
+}

 import 'dart:io';
-import 'dart:isolate';
 import 'dart:typed_data';
 
 import 'package:args/args.dart';
-import 'package:path/path.dart' as p;
 import 'package:sherpa_onnx/sherpa_onnx.dart' as sherpa_onnx;
-
-Future<void> initSherpaOnnx() async {
-  var uri = await Isolate.resolvePackageUri(
-      Uri.parse('package:sherpa_onnx/sherpa_onnx.dart'));
-
-  if (uri == null) {
-    print('File not found');
-    exit(1);
-  }
-  String platform = '';
-  if (Platform.isMacOS) {
-    platform = 'macos';
-  } else if (Platform.isLinux) {
-    platform = 'linux';
-  } else if (Platform.isWindows) {
-    platform = 'windows';
-  } else {
-    throw UnsupportedError('Unknown platform: ${Platform.operatingSystem}');
-  }
-
-  final libPath = p.join(p.dirname(p.fromUri(uri)), '..', platform);
-  sherpa_onnx.initBindings(libPath);
-}
+import './init.dart';
 
 void main(List<String> arguments) async {
   await initSherpaOnnx();
@@ -36,6 +12,7 @@ void main(List<String> arguments) async {
     ..addOption('silero-vad', help: 'Path to silero_vad.onnx')
     ..addOption('input-wav', help: 'Path to input.wav')
     ..addOption('output-wav', help: 'Path to output.wav');
+
   final res = parser.parse(arguments);
   if (res['silero-vad'] == null ||
       res['input-wav'] == null ||
@@ -53,6 +30,7 @@ void main(List<String> arguments) async {
     minSilenceDuration: 0.25,
     minSpeechDuration: 0.5,
   );
+
   final config = sherpa_onnx.VadModelConfig(
     sileroVad: sileroVadConfig,
     numThreads: 1,
@@ -86,8 +64,11 @@ void main(List<String> arguments) async {
     }
   }
 
+  vad.free();
+
   final s = Float32List.fromList(allSamples.expand((x) => x).toList());
   sherpa_onnx.writeWave(
       filename: outputWav, samples: s, sampleRate: waveData.sampleRate);
+
   print('Saved to ${outputWav}');
 }

@@ -74,10 +74,10 @@ packages:
     dependency: "direct main"
     description:
       name: sherpa_onnx
-      sha256: "6cfadf7bc35001bb1284f9fac1e03e33787cafa918e0c45da96d1e91afa58751"
+      sha256: e45894f81e7c854ca96d678bcab5303036e884a7c90e9a6c4ec04c7b1ee215a8
       url: "https://pub.dev"
     source: hosted
-    version: "0.0.3"
+    version: "1.9.29"
   sky_engine:
     dependency: transitive
     description: flutter

@@ -9,7 +9,7 @@ environment:
   sdk: ^3.4.0
 
 dependencies:
-  sherpa_onnx: ^0.0.3
+  sherpa_onnx: ^1.9.29
   path: ^1.9.0
   args: ^2.5.0
 

+name: non_streaming_asr
+description: >
+  This example demonstrates how to use the Dart API for Non-streaming speech recognition. Specifically, we use the following models as examples, whisper, zipformer, and paraformer.
+
+version: 1.0.0
+
+environment:
+  sdk: ^3.4.0
+
+# Add regular dependencies here.
+dependencies:
+  sherpa_onnx:
+    path: ../../sherpa-onnx/flutter
+
+  path: ^1.9.0
+  args: ^2.5.0
+
+dev_dependencies:
+  lints: ^3.0.0

+name: vad
+
+description: >
+  This example demonstrates how to use the Dart API for VAD (voice activity detection).
+
+version: 1.0.0
+
+environment:
+  sdk: ^3.4.0
+
+dependencies:
+  sherpa_onnx:
+    path: ../../sherpa-onnx/flutter
+  path: ^1.9.0
+  args: ^2.5.0
+
+dev_dependencies:
+  lints: ^3.0.0

@@ -102,11 +102,14 @@ class OfflineModelConfig {
     this.debug = true,
     this.provider = 'cpu',
     this.modelType = '',
+    this.modelingUnit = '',
+    this.bpeVocab = '',
+    this.telespeechCtc = '',
   });
 
   @override
   String toString() {
-    return 'OfflineModelConfig(transducer: $transducer, paraformer: $paraformer, nemoCtc: $nemoCtc, whisper: $whisper, tdnn: $tdnn, tokens: $tokens, numThreads: $numThreads, debug: $debug, provider: $provider, modelType: $modelType)';
+    return 'OfflineModelConfig(transducer: $transducer, paraformer: $paraformer, nemoCtc: $nemoCtc, whisper: $whisper, tdnn: $tdnn, tokens: $tokens, numThreads: $numThreads, debug: $debug, provider: $provider, modelType: $modelType, modelingUnit: $modelingUnit, bpeVocab: $bpeVocab, telespeechCtc: $telespeechCtc)';
   }
 
   final OfflineTransducerModelConfig transducer;
@@ -120,6 +123,9 @@ class OfflineModelConfig {
   final bool debug;
   final String provider;
   final String modelType;
+  final String modelingUnit;
+  final String bpeVocab;
+  final String telespeechCtc;
 }
 
 class OfflineRecognizerConfig {
@@ -213,6 +219,9 @@ class OfflineRecognizer {
     c.ref.model.debug = config.model.debug ? 1 : 0;
     c.ref.model.provider = config.model.provider.toNativeUtf8();
     c.ref.model.modelType = config.model.modelType.toNativeUtf8();
+    c.ref.model.modelingUnit = config.model.modelingUnit.toNativeUtf8();
+    c.ref.model.bpeVocab = config.model.bpeVocab.toNativeUtf8();
+    c.ref.model.telespeechCtc = config.model.telespeechCtc.toNativeUtf8();
 
     c.ref.lm.model = config.lm.model.toNativeUtf8();
     c.ref.lm.scale = config.lm.scale;
@@ -228,6 +237,9 @@ class OfflineRecognizer {
     calloc.free(c.ref.hotwordsFile);
     calloc.free(c.ref.decodingMethod);
     calloc.free(c.ref.lm.model);
+    calloc.free(c.ref.model.telespeechCtc);
+    calloc.free(c.ref.model.bpeVocab);
+    calloc.free(c.ref.model.modelingUnit);
     calloc.free(c.ref.model.modelType);
     calloc.free(c.ref.model.provider);
     calloc.free(c.ref.model.tokens);

@@ -58,11 +58,13 @@ class OnlineModelConfig {
     this.provider = 'cpu',
     this.debug = true,
     this.modelType = '',
+    this.modelingUnit = '',
+    this.bpeVocab = '',
   });
 
   @override
   String toString() {
-    return 'OnlineModelConfig(transducer: $transducer, paraformer: $paraformer, zipformer2Ctc: $zipformer2Ctc, tokens: $tokens, numThreads: $numThreads, provider: $provider, debug: $debug, modelType: $modelType)';
+    return 'OnlineModelConfig(transducer: $transducer, paraformer: $paraformer, zipformer2Ctc: $zipformer2Ctc, tokens: $tokens, numThreads: $numThreads, provider: $provider, debug: $debug, modelType: $modelType, modelingUnit: $modelingUnit, bpeVocab: $bpeVocab)';
   }
 
   final OnlineTransducerModelConfig transducer;
@@ -78,6 +80,10 @@ class OnlineModelConfig {
   final bool debug;
 
   final String modelType;
+
+  final String modelingUnit;
+
+  final String bpeVocab;
 }
 
 class OnlineCtcFstDecoderConfig {
@@ -180,6 +186,8 @@ class OnlineRecognizer {
     c.ref.model.provider = config.model.provider.toNativeUtf8();
     c.ref.model.debug = config.model.debug ? 1 : 0;
     c.ref.model.modelType = config.model.modelType.toNativeUtf8();
+    c.ref.model.modelingUnit = config.model.modelingUnit.toNativeUtf8();
+    c.ref.model.bpeVocab = config.model.bpeVocab.toNativeUtf8();
 
     c.ref.decodingMethod = config.decodingMethod.toNativeUtf8();
     c.ref.maxActivePaths = config.maxActivePaths;
@@ -199,6 +207,8 @@ class OnlineRecognizer {
     calloc.free(c.ref.ctcFstDecoderConfig.graph);
     calloc.free(c.ref.hotwordsFile);
     calloc.free(c.ref.decodingMethod);
+    calloc.free(c.ref.model.bpeVocab);
+    calloc.free(c.ref.model.modelingUnit);
     calloc.free(c.ref.model.modelType);
     calloc.free(c.ref.model.provider);
     calloc.free(c.ref.model.tokens);

@@ -63,6 +63,9 @@ final class SherpaOnnxOfflineModelConfig extends Struct {
   external Pointer<Utf8> provider;
 
   external Pointer<Utf8> modelType;
+  external Pointer<Utf8> modelingUnit;
+  external Pointer<Utf8> bpeVocab;
+  external Pointer<Utf8> telespeechCtc;
 }
 
 final class SherpaOnnxOfflineRecognizerConfig extends Struct {
@@ -111,6 +114,10 @@ final class SherpaOnnxOnlineModelConfig extends Struct {
   external int debug;
 
   external Pointer<Utf8> modelType;
+
+  external Pointer<Utf8> modelingUnit;
+
+  external Pointer<Utf8> bpeVocab;
 }
 
 final class SherpaOnnxOnlineCtcFstDecoderConfig extends Struct {

@@ -17,7 +17,7 @@ topics:
   - voice-activity-detection
 
 # remember to change the version in macos/sherpa_onnx.podspec
-version: 0.0.2
+version: 1.9.29
 
 homepage: https://github.com/k2-fsa/sherpa-onnx