Fangjun Kuang
Committed by GitHub

Add Dart API for keyword spotter (#1162)

... ... @@ -4,6 +4,10 @@ set -ex
cd dart-api-examples
pushd keyword-spotter
./run-zh.sh
popd
pushd non-streaming-asr
echo '----------SenseVoice----------'
... ...
... ... @@ -108,6 +108,7 @@ jobs:
cp scripts/dart/non-streaming-asr-pubspec.yaml dart-api-examples/non-streaming-asr/pubspec.yaml
cp scripts/dart/streaming-asr-pubspec.yaml dart-api-examples/streaming-asr/pubspec.yaml
cp scripts/dart/tts-pubspec.yaml dart-api-examples/tts/pubspec.yaml
cp scripts/dart/kws-pubspec.yaml dart-api-examples/keyword-spotter/pubspec.yaml
cp scripts/dart/sherpa-onnx-pubspec.yaml flutter/sherpa_onnx/pubspec.yaml
.github/scripts/test-dart.sh
... ...
## 1.10.17
* Support SenseVoice CTC models.
* Add Dart API for keyword spotter.
## 1.10.16
... ...
!run*.sh
# See https://www.dartlang.org/guides/libraries/private-files
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... ...
# https://dart.dev/guides/libraries/private-files
# Created by `dart pub`
.dart_tool/
... ...
## 1.0.0
- Initial version.
... ...
# Introduction
This directory contains keyword spotting examples using
Dart API from [sherpa-onnx](https://github.com/k2-fsa/sherpa-onnx)
... ...
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... ...
../../vad/bin/init.dart
\ No newline at end of file
... ...
// Copyright (c) 2024 Xiaomi Corporation
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('keywords-file', help: 'Path to keywords.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['keywords-file'] == 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 keywordsFile = res['keywords-file'] as String;
final inputWav = res['input-wav'] as String;
final transducer = sherpa_onnx.OnlineTransducerModelConfig(
encoder: encoder,
decoder: decoder,
joiner: joiner,
);
final modelConfig = sherpa_onnx.OnlineModelConfig(
transducer: transducer,
tokens: tokens,
debug: true,
numThreads: 1,
);
final config = sherpa_onnx.KeywordSpotterConfig(
model: modelConfig,
keywordsFile: keywordsFile,
);
final spotter = sherpa_onnx.KeywordSpotter(config);
final waveData = sherpa_onnx.readWave(inputWav);
var stream = spotter.createStream();
// simulate streaming. You can choose an arbitrary chunk size.
// chunkSize of a single sample is also ok, i.e, chunkSize = 1
final chunkSize = 1600; // 0.1 second for 16kHz
final numChunks = waveData.samples.length ~/ chunkSize;
for (int i = 0; i != numChunks; ++i) {
int start = i * chunkSize;
stream.acceptWaveform(
samples:
Float32List.sublistView(waveData.samples, start, start + chunkSize),
sampleRate: waveData.sampleRate,
);
while (spotter.isReady(stream)) {
spotter.decode(stream);
final result = spotter.getResult(stream);
if (result.keyword != '') {
print('Detected: ${result.keyword}');
}
}
}
// 0.5 seconds, assume sampleRate is 16kHz
final tailPaddings = Float32List(8000);
stream.acceptWaveform(
samples: tailPaddings,
sampleRate: waveData.sampleRate,
);
while (spotter.isReady(stream)) {
spotter.decode(stream);
final result = spotter.getResult(stream);
if (result.keyword != '') {
print('Detected: ${result.keyword}');
}
}
stream.free();
spotter.free();
}
... ...
name: keyword_spotter
description: >
This example demonstrates how to use the Dart API for keyword spotting
version: 1.0.0
environment:
sdk: ^3.4.0
dependencies:
sherpa_onnx: ^1.10.17
# sherpa_onnx:
# path: ../../flutter/sherpa_onnx
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-kws-zipformer-wenetspeech-3.3M-2024-01-01/tokens.txt ]; then
curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/kws-models/sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01.tar.bz2
tar xvf sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01.tar.bz2
rm sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01.tar.bz2
fi
dart run \
./bin/zipformer-transducer.dart \
--encoder ./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/encoder-epoch-12-avg-2-chunk-16-left-64.onnx \
--decoder ./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/decoder-epoch-12-avg-2-chunk-16-left-64.onnx \
--joiner ./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/joiner-epoch-12-avg-2-chunk-16-left-64.onnx \
--tokens ./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/tokens.txt \
--keywords-file ./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/test_wavs/test_keywords.txt \
--input-wav ./sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/test_wavs/3.wav
... ...
... ... @@ -3,6 +3,7 @@ import 'dart:io';
import 'dart:ffi';
export 'src/feature_config.dart';
export 'src/keyword_spotter.dart';
export 'src/offline_recognizer.dart';
export 'src/offline_stream.dart';
export 'src/online_recognizer.dart';
... ...
// Copyright (c) 2024 Xiaomi Corporation
import 'dart:convert';
import 'dart:ffi';
import 'package:ffi/ffi.dart';
import './feature_config.dart';
import './online_stream.dart';
import './online_recognizer.dart';
import './sherpa_onnx_bindings.dart';
import './utils.dart';
class KeywordSpotterConfig {
const KeywordSpotterConfig({
this.feat = const FeatureConfig(),
required this.model,
this.maxActivePaths = 4,
this.numTrailingBlanks = 1,
this.keywordsScore = 1.0,
this.keywordsThreshold = 0.25,
this.keywordsFile = '',
});
@override
String toString() {
return 'KeywordSpotterConfig(feat: $feat, model: $model, maxActivePaths: $maxActivePaths, numTrailingBlanks: $numTrailingBlanks, keywordsScore: $keywordsScore, keywordsThreshold: $keywordsThreshold, keywordsFile: $keywordsFile)';
}
final FeatureConfig feat;
final OnlineModelConfig model;
final int maxActivePaths;
final int numTrailingBlanks;
final double keywordsScore;
final double keywordsThreshold;
final String keywordsFile;
}
class KeywordResult {
KeywordResult({required this.keyword});
@override
String toString() {
return 'KeywordResult(keyword: $keyword)';
}
final String keyword;
}
class KeywordSpotter {
KeywordSpotter._({required this.ptr, required this.config});
/// The user is responsible to call the OnlineRecognizer.free()
/// method of the returned instance to avoid memory leak.
factory KeywordSpotter(KeywordSpotterConfig config) {
final c = calloc<SherpaOnnxKeywordSpotterConfig>();
c.ref.feat.sampleRate = config.feat.sampleRate;
c.ref.feat.featureDim = config.feat.featureDim;
// transducer
c.ref.model.transducer.encoder =
config.model.transducer.encoder.toNativeUtf8();
c.ref.model.transducer.decoder =
config.model.transducer.decoder.toNativeUtf8();
c.ref.model.transducer.joiner =
config.model.transducer.joiner.toNativeUtf8();
// paraformer
c.ref.model.paraformer.encoder =
config.model.paraformer.encoder.toNativeUtf8();
c.ref.model.paraformer.decoder =
config.model.paraformer.decoder.toNativeUtf8();
// zipformer2Ctc
c.ref.model.zipformer2Ctc.model =
config.model.zipformer2Ctc.model.toNativeUtf8();
c.ref.model.tokens = config.model.tokens.toNativeUtf8();
c.ref.model.numThreads = config.model.numThreads;
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.maxActivePaths = config.maxActivePaths;
c.ref.numTrailingBlanks = config.numTrailingBlanks;
c.ref.keywordsScore = config.keywordsScore;
c.ref.keywordsThreshold = config.keywordsThreshold;
c.ref.keywordsFile = config.keywordsFile.toNativeUtf8();
final ptr = SherpaOnnxBindings.createKeywordSpotter?.call(c) ?? nullptr;
calloc.free(c.ref.keywordsFile);
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);
calloc.free(c.ref.model.zipformer2Ctc.model);
calloc.free(c.ref.model.paraformer.encoder);
calloc.free(c.ref.model.paraformer.decoder);
calloc.free(c.ref.model.transducer.encoder);
calloc.free(c.ref.model.transducer.decoder);
calloc.free(c.ref.model.transducer.joiner);
calloc.free(c);
return KeywordSpotter._(ptr: ptr, config: config);
}
void free() {
SherpaOnnxBindings.destroyKeywordSpotter?.call(ptr);
ptr = nullptr;
}
/// The user has to invoke stream.free() on the returned instance
/// to avoid memory leak
OnlineStream createStream({String keywords = ''}) {
if (keywords == '') {
final p = SherpaOnnxBindings.createKeywordStream?.call(ptr) ?? nullptr;
return OnlineStream(ptr: p);
}
final utf8 = keywords.toNativeUtf8();
final p =
SherpaOnnxBindings.createKeywordStreamWithKeywords?.call(ptr, utf8) ??
nullptr;
calloc.free(utf8);
return OnlineStream(ptr: p);
}
bool isReady(OnlineStream stream) {
int ready =
SherpaOnnxBindings.isKeywordStreamReady?.call(ptr, stream.ptr) ?? 0;
return ready == 1;
}
KeywordResult getResult(OnlineStream stream) {
final json =
SherpaOnnxBindings.getKeywordResultAsJson?.call(ptr, stream.ptr) ??
nullptr;
if (json == nullptr) {
return KeywordResult(keyword: '');
}
final parsedJson = jsonDecode(toDartString(json));
SherpaOnnxBindings.freeKeywordResultJson?.call(json);
return KeywordResult(
keyword: parsedJson['keyword'],
);
}
void decode(OnlineStream stream) {
SherpaOnnxBindings.decodeKeywordStream?.call(ptr, stream.ptr);
}
Pointer<SherpaOnnxKeywordSpotter> ptr;
KeywordSpotterConfig config;
}
... ...
... ... @@ -283,6 +283,28 @@ final class SherpaOnnxSpeakerEmbeddingExtractorConfig extends Struct {
external Pointer<Utf8> provider;
}
final class SherpaOnnxKeywordSpotterConfig extends Struct {
external SherpaOnnxFeatureConfig feat;
external SherpaOnnxOnlineModelConfig model;
@Int32()
external int maxActivePaths;
@Int32()
external int numTrailingBlanks;
@Float()
external double keywordsScore;
@Float()
external double keywordsThreshold;
external Pointer<Utf8> keywordsFile;
}
final class SherpaOnnxKeywordSpotter extends Opaque {}
final class SherpaOnnxOfflineTts extends Opaque {}
final class SherpaOnnxCircularBuffer extends Opaque {}
... ... @@ -301,6 +323,48 @@ final class SherpaOnnxSpeakerEmbeddingExtractor extends Opaque {}
final class SherpaOnnxSpeakerEmbeddingManager extends Opaque {}
typedef CreateKeywordSpotterNative = Pointer<SherpaOnnxKeywordSpotter> Function(
Pointer<SherpaOnnxKeywordSpotterConfig>);
typedef CreateKeywordSpotter = CreateKeywordSpotterNative;
typedef DestroyKeywordSpotterNative = Void Function(
Pointer<SherpaOnnxKeywordSpotter>);
typedef DestroyKeywordSpotter = void Function(
Pointer<SherpaOnnxKeywordSpotter>);
typedef CreateKeywordStreamNative = Pointer<SherpaOnnxOnlineStream> Function(
Pointer<SherpaOnnxKeywordSpotter>);
typedef CreateKeywordStream = CreateKeywordStreamNative;
typedef CreateKeywordStreamWithKeywordsNative = Pointer<SherpaOnnxOnlineStream>
Function(Pointer<SherpaOnnxKeywordSpotter>, Pointer<Utf8>);
typedef CreateKeywordStreamWithKeywords = CreateKeywordStreamWithKeywordsNative;
typedef IsKeywordStreamReadyNative = Int32 Function(
Pointer<SherpaOnnxKeywordSpotter>, Pointer<SherpaOnnxOnlineStream>);
typedef IsKeywordStreamReady = int Function(
Pointer<SherpaOnnxKeywordSpotter>, Pointer<SherpaOnnxOnlineStream>);
typedef DecodeKeywordStreamNative = Void Function(
Pointer<SherpaOnnxKeywordSpotter>, Pointer<SherpaOnnxOnlineStream>);
typedef DecodeKeywordStream = void Function(
Pointer<SherpaOnnxKeywordSpotter>, Pointer<SherpaOnnxOnlineStream>);
typedef GetKeywordResultAsJsonNative = Pointer<Utf8> Function(
Pointer<SherpaOnnxKeywordSpotter>, Pointer<SherpaOnnxOnlineStream>);
typedef GetKeywordResultAsJson = GetKeywordResultAsJsonNative;
typedef FreeKeywordResultJsonNative = Void Function(Pointer<Utf8>);
typedef FreeKeywordResultJson = void Function(Pointer<Utf8>);
typedef SherpaOnnxCreateOfflineTtsNative = Pointer<SherpaOnnxOfflineTts>
Function(Pointer<SherpaOnnxOfflineTtsConfig>);
... ... @@ -735,6 +799,15 @@ typedef SherpaOnnxFreeWaveNative = Void Function(Pointer<SherpaOnnxWave>);
typedef SherpaOnnxFreeWave = void Function(Pointer<SherpaOnnxWave>);
class SherpaOnnxBindings {
static CreateKeywordSpotter? createKeywordSpotter;
static DestroyKeywordSpotter? destroyKeywordSpotter;
static CreateKeywordStream? createKeywordStream;
static CreateKeywordStreamWithKeywords? createKeywordStreamWithKeywords;
static IsKeywordStreamReady? isKeywordStreamReady;
static DecodeKeywordStream? decodeKeywordStream;
static GetKeywordResultAsJson? getKeywordResultAsJson;
static FreeKeywordResultJson? freeKeywordResultJson;
static SherpaOnnxCreateOfflineTts? createOfflineTts;
static SherpaOnnxDestroyOfflineTts? destroyOfflineTts;
static SherpaOnnxOfflineTtsSampleRate? offlineTtsSampleRate;
... ... @@ -879,6 +952,46 @@ class SherpaOnnxBindings {
static SherpaOnnxFreeWave? freeWave;
static void init(DynamicLibrary dynamicLibrary) {
createKeywordSpotter ??= dynamicLibrary
.lookup<NativeFunction<CreateKeywordSpotterNative>>(
'CreateKeywordSpotter')
.asFunction();
destroyKeywordSpotter ??= dynamicLibrary
.lookup<NativeFunction<DestroyKeywordSpotterNative>>(
'DestroyKeywordSpotter')
.asFunction();
createKeywordStream ??= dynamicLibrary
.lookup<NativeFunction<CreateKeywordStreamNative>>(
'CreateKeywordStream')
.asFunction();
createKeywordStreamWithKeywords ??= dynamicLibrary
.lookup<NativeFunction<CreateKeywordStreamWithKeywordsNative>>(
'CreateKeywordStreamWithKeywords')
.asFunction();
isKeywordStreamReady ??= dynamicLibrary
.lookup<NativeFunction<IsKeywordStreamReadyNative>>(
'IsKeywordStreamReady')
.asFunction();
decodeKeywordStream ??= dynamicLibrary
.lookup<NativeFunction<DecodeKeywordStreamNative>>(
'DecodeKeywordStream')
.asFunction();
getKeywordResultAsJson ??= dynamicLibrary
.lookup<NativeFunction<GetKeywordResultAsJsonNative>>(
'GetKeywordResultAsJson')
.asFunction();
freeKeywordResultJson ??= dynamicLibrary
.lookup<NativeFunction<FreeKeywordResultJsonNative>>(
'FreeKeywordResultJson')
.asFunction();
createOfflineTts ??= dynamicLibrary
.lookup<NativeFunction<SherpaOnnxCreateOfflineTtsNative>>(
'SherpaOnnxCreateOfflineTts')
... ...
... ... @@ -31,15 +31,19 @@ dependencies:
sdk: flutter
sherpa_onnx_android: ^1.10.17
# sherpa_onnx_android:
# path: ../sherpa_onnx_android
sherpa_onnx_macos: ^1.10.17
# sherpa_onnx_macos:
# path: ../sherpa_onnx_macos
sherpa_onnx_linux: ^1.10.17
# sherpa_onnx_linux:
# path: ../sherpa_onnx_linux
#
sherpa_onnx_windows: ^1.10.17
# sherpa_onnx_windows:
# path: ../sherpa_onnx_windows
sherpa_onnx_ios: ^1.10.17
... ...
name: keyword_spotter
description: >
This example demonstrates how to use the Dart API for keyword spotting
version: 1.0.0
environment:
sdk: ^3.4.0
dependencies:
# sherpa_onnx: ^1.10.17
sherpa_onnx:
path: ../../flutter/sherpa_onnx
path: ^1.9.0
args: ^2.5.0
dev_dependencies:
lints: ^3.0.0
... ...