Add speaker identification and verification exmaple for Dart API (#1194)

@@ -4,6 +4,11 @@ set -ex
 
 
 cd dart-api-examples
 cd dart-api-examples
 
 
+pushd speaker-identification
+echo '----------3d speaker----------'
+./run-3d-speaker.sh
+popd
+
 pushd add-punctuations
 pushd add-punctuations
 echo '----------CT Transformer----------'
 echo '----------CT Transformer----------'
 ./run-ct-transformer.sh
 ./run-ct-transformer.sh

@@ -112,6 +112,7 @@ jobs:
           cp scripts/dart/vad-non-streaming-asr-pubspec.yaml dart-api-examples/vad-with-non-streaming-asr/pubspec.yaml
           cp scripts/dart/vad-non-streaming-asr-pubspec.yaml dart-api-examples/vad-with-non-streaming-asr/pubspec.yaml
           cp scripts/dart/audio-tagging-pubspec.yaml dart-api-examples/audio-tagging/pubspec.yaml
           cp scripts/dart/audio-tagging-pubspec.yaml dart-api-examples/audio-tagging/pubspec.yaml
           cp scripts/dart/add-punctuations-pubspec.yaml dart-api-examples/add-punctuations/pubspec.yaml
           cp scripts/dart/add-punctuations-pubspec.yaml dart-api-examples/add-punctuations/pubspec.yaml
+          cp scripts/dart/speaker-id-pubspec.yaml dart-api-examples/speaker-identification/pubspec.yaml
 
 
           cp scripts/dart/sherpa-onnx-pubspec.yaml flutter/sherpa_onnx/pubspec.yaml
           cp scripts/dart/sherpa-onnx-pubspec.yaml flutter/sherpa_onnx/pubspec.yaml
 
 

@@ -9,14 +9,15 @@ https://pub.dev/packages/sherpa_onnx
 
 
 | Directory | Description |
 | Directory | Description |
 |-----------|-------------|
 |-----------|-------------|
+| [./add-punctuations](./add-punctuations)| Example for adding punctuations to text.|
+| [./audio-tagging](./audio-tagging)| Example for audio tagging.|
 | [./keyword-spotter](./keyword-spotter)| Example for keyword spotting|
 | [./keyword-spotter](./keyword-spotter)| Example for keyword spotting|
 | [./non-streaming-asr](./non-streaming-asr)| Example for non-streaming speech recognition|
 | [./non-streaming-asr](./non-streaming-asr)| Example for non-streaming speech recognition|
+| [./speaker-identification](./speaker-identification)| Example for speaker identification and verification.|
 | [./streaming-asr](./streaming-asr)| Example for streaming speech recognition|
 | [./streaming-asr](./streaming-asr)| Example for streaming speech recognition|
 | [./tts](./tts)| Example for text to speech|
 | [./tts](./tts)| Example for text to speech|
-| [./vad](./vad)| Example for voice activity detection|
 | [./vad-with-non-streaming-asr](./vad-with-non-streaming-asr)| Example for voice activity detection with non-streaming speech recognition. You can use it to generate subtitles.|
 | [./vad-with-non-streaming-asr](./vad-with-non-streaming-asr)| Example for voice activity detection with non-streaming speech recognition. You can use it to generate subtitles.|
-| [./audio-tagging](./audio-tagging)| Example for audio tagging.|
-| [./add-punctuations](./add-punctuations)| Example for adding punctuations to text.|
+| [./vad](./vad)| Example for voice activity detection|
 
 
 ## How to create an example in this folder
 ## How to create an example in this folder
 
 

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

+# Introduction
+
+This example shows how to use the Dart API from sherpa-onnx for speaker identification.
+
+| File | Description|
+|------|------------|
+|[./bin/speaker_id.dart](./bin/speaker_id.dart)| Use a speaker embedding extractor model for speaker identification and verification. See also [./run-3d-speaker.sh](./run-3d-speaker.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

+// 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';
+
+Float32List computeEmbedding(
+    {required sherpa_onnx.SpeakerEmbeddingExtractor extractor,
+    required String filename}) {
+  final waveData = sherpa_onnx.readWave(filename);
+  final stream = extractor.createStream();
+
+  stream.acceptWaveform(
+    samples: waveData.samples,
+    sampleRate: waveData.sampleRate,
+  );
+
+  stream.inputFinished();
+
+  final embedding = extractor.compute(stream);
+
+  stream.free();
+
+  return embedding;
+}
+
+void main(List<String> arguments) async {
+  await initSherpaOnnx();
+
+  final parser = ArgParser()..addOption('model', help: 'Path to model.onnx');
+
+  final res = parser.parse(arguments);
+  if (res['model'] == null) {
+    print(parser.usage);
+    exit(1);
+  }
+
+  final model = res['model'] as String;
+  /*
+     Please download test data by yourself
+
+  curl -SL -o sr-data.tar.gz https://github.com/csukuangfj/sr-data/archive/refs/tags/v1.0.0.tar.gz
+  tar xvf sr-data.tar.gz
+  mv sr-data-1.0.0 sr-data
+  */
+
+  final config = sherpa_onnx.SpeakerEmbeddingExtractorConfig(
+    model: model,
+    numThreads: 1,
+    debug: true,
+    provider: 'cpu',
+  );
+  final extractor = sherpa_onnx.SpeakerEmbeddingExtractor(config: config);
+
+  final manager = sherpa_onnx.SpeakerEmbeddingManager(extractor.dim);
+
+  final spk1Files = [
+    "./sr-data/enroll/fangjun-sr-1.wav",
+    "./sr-data/enroll/fangjun-sr-2.wav",
+    "./sr-data/enroll/fangjun-sr-3.wav",
+  ];
+
+  final spk1Vec = <Float32List>[];
+  for (final f in spk1Files) {
+    final embedding = computeEmbedding(extractor: extractor, filename: f);
+    spk1Vec.add(embedding);
+  }
+
+  final spk2Files = [
+    "./sr-data/enroll/leijun-sr-1.wav",
+    "./sr-data/enroll/leijun-sr-2.wav",
+  ];
+
+  final spk2Vec = <Float32List>[];
+  for (final f in spk2Files) {
+    final embedding = computeEmbedding(extractor: extractor, filename: f);
+    spk2Vec.add(embedding);
+  }
+
+  if (!manager.addMulti(name: "fangjun", embeddingList: spk1Vec)) {
+    // Note you should free extractor and manager in your app to avoid memory leak
+    print("Failed to register fangjun");
+    return;
+  }
+
+  if (!manager.addMulti(name: "leijun", embeddingList: spk2Vec)) {
+    print("Failed to register leijun");
+    return;
+  }
+
+  if (manager.numSpeakers != 2) {
+    print("There should be two speakers");
+    return;
+  }
+
+  if (!manager.contains("fangjun")) {
+    print("It should contain the speaker fangjun");
+    return;
+  }
+
+  if (!manager.contains("leijun")) {
+    print("It should contain the speaker leijun");
+    return;
+  }
+
+  print("---All speakers---");
+  final allSpeakers = manager.allSpeakerNames;
+  for (final s in allSpeakers) {
+    print(s);
+  }
+  print("------------");
+
+  final testFiles = [
+    "./sr-data/test/fangjun-test-sr-1.wav",
+    "./sr-data/test/leijun-test-sr-1.wav",
+    "./sr-data/test/liudehua-test-sr-1.wav",
+  ];
+
+  final threshold = 0.6;
+  for (final file in testFiles) {
+    final embedding = computeEmbedding(extractor: extractor, filename: file);
+
+    var name = manager.search(embedding: embedding, threshold: threshold);
+    if (name == '') {
+      name = "<Unknown>";
+    }
+    print("$file: $name");
+  }
+
+  if (!manager.verify(
+      name: "fangjun",
+      embedding: computeEmbedding(extractor: extractor, filename: testFiles[0]),
+      threshold: threshold)) {
+    print("{$testFiles[0]} should match fangjun!");
+    return;
+  }
+
+  if (!manager.remove("fangjun")) {
+    print("Failed to remove fangjun");
+    return;
+  }
+
+  if (manager.verify(
+      name: "fangjun",
+      embedding: computeEmbedding(extractor: extractor, filename: testFiles[0]),
+      threshold: threshold)) {
+    print("${testFiles[0]} should match no one!");
+    return;
+  }
+
+  if (manager.numSpeakers != 1) {
+    print("There should only 1 speaker left.");
+    return;
+  }
+
+  extractor.free();
+  manager.free();
+}

+name: speaker_identification
+
+description: >
+  This example demonstrates how to use the Dart API for speaker identification.
+
+version: 1.0.0
+
+environment:
+  sdk: ^3.4.0
+
+dependencies:
+  sherpa_onnx: ^1.10.20
+  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 ./3dspeaker_speech_eres2net_base_sv_zh-cn_3dspeaker_16k.onnx ]; then
+  curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-recongition-models/3dspeaker_speech_eres2net_base_sv_zh-cn_3dspeaker_16k.onnx
+fi
+
+if [ ! -f ./sr-data/enroll/leijun-sr-1.wav ]; then
+  curl -SL -o sr-data.tar.gz https://github.com/csukuangfj/sr-data/archive/refs/tags/v1.0.0.tar.gz
+  tar xvf sr-data.tar.gz
+  mv sr-data-1.0.0 sr-data
+fi
+
+dart run \
+  ./bin/speaker_id.dart \
+  --model ./3dspeaker_speech_eres2net_base_sv_zh-cn_3dspeaker_16k.onnx

@@ -15,3 +15,7 @@
 |Non-Streaming speech recognition| [Address](https://github.com/k2-fsa/sherpa-onnx/tree/master/dart-api-examples/non-streaming-asr)| macOS, Windows, Linux|
 |Non-Streaming speech recognition| [Address](https://github.com/k2-fsa/sherpa-onnx/tree/master/dart-api-examples/non-streaming-asr)| macOS, Windows, Linux|
 |Text to speech| [Address](https://github.com/k2-fsa/sherpa-onnx/tree/master/dart-api-examples/tts)| macOS, Windows, Linux|
 |Text to speech| [Address](https://github.com/k2-fsa/sherpa-onnx/tree/master/dart-api-examples/tts)| macOS, Windows, Linux|
 |Voice activity detection (VAD)| [Address](https://github.com/k2-fsa/sherpa-onnx/tree/master/dart-api-examples/vad)| macOS, Windows, Linux|
 |Voice activity detection (VAD)| [Address](https://github.com/k2-fsa/sherpa-onnx/tree/master/dart-api-examples/vad)| macOS, Windows, Linux|
+|Voice activity detection (VAD) with non-streaming speech recognition| [Address](https://github.com/k2-fsa/sherpa-onnx/tree/master/dart-api-examples/vad-with-non-streaming-asr)| macOS, Windows, Linux|
+|Speaker identification and verification| [Address](https://github.com/k2-fsa/sherpa-onnx/tree/master/dart-api-examples/speaker-identification)| macOS, Windows, Linux|
+|Audio tagging| [Address](https://github.com/k2-fsa/sherpa-onnx/tree/master/dart-api-examples/audio-tagging)| macOS, Windows, Linux|
+|Keyword spotter| [Address](https://github.com/k2-fsa/sherpa-onnx/tree/master/dart-api-examples/keyword-spotter)| macOS, Windows, Linux|

@@ -107,7 +107,7 @@ public class SpeakerIdentification {
 
 
     // test verify
     // test verify
     if (!manager.verify("fangjun", computeEmbedding(extractor, testFiles[0]), threshold)) {
     if (!manager.verify("fangjun", computeEmbedding(extractor, testFiles[0]), threshold)) {
-      System.out.printf("testFiles[0] should match fangjun!");
+      System.out.printf("%s should match fangjun!\n", testFiles[0]);
       return;
       return;
     }
     }
 
 

+name: speaker_identification
+
+description: >
+  This example demonstrates how to use the Dart API for speaker identification.
+
+version: 1.0.0
+
+environment:
+  sdk: ^3.4.0
+
+dependencies:
+  sherpa_onnx:
+    path: ../../flutter/sherpa_onnx
+  path: ^1.9.0
+  args: ^2.5.0
+
+dev_dependencies:
+  lints: ^3.0.0