Add spoken language identification for node-addon-api

.github/scripts/node-addon/run.sh

@@ -18,6 +18,8 @@ fi
 SHERPA_ONNX_VERSION=$(grep "SHERPA_ONNX_VERSION" ./CMakeLists.txt  | cut -d " " -f 2  | cut -d '"' -f 2)
 echo "SHERPA_ONNX_VERSION $SHERPA_ONNX_VERSION"
 
+# SHERPA_ONNX_VERSION=1.0.20
+
 if [ -z $owner ]; then
   owner=k2-fsa
 fi

.github/scripts/test-nodejs-addon-npm.sh

@@ -6,6 +6,20 @@ d=nodejs-addon-examples
 echo "dir: $d"
 cd $d
 
+echo "----------spoken language identification----------"
+
+curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-whisper-tiny.tar.bz2
+tar xvf sherpa-onnx-whisper-tiny.tar.bz2
+rm sherpa-onnx-whisper-tiny.tar.bz2
+
+curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/spoken-language-identification-test-wavs.tar.bz2
+tar xvf spoken-language-identification-test-wavs.tar.bz2
+rm spoken-language-identification-test-wavs.tar.bz2
+
+node ./test_spoken_language_identification.js
+rm -rf sherpa-onnx-whisper-tiny
+rm -rf spoken-language-identification-test-wavs
+
 echo "----------streaming asr----------"
 
 curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.tar.bz2

.github/workflows/npm-addon.yaml

@@ -52,6 +52,7 @@ jobs:
 
           SHERPA_ONNX_VERSION=$(grep "SHERPA_ONNX_VERSION" ./CMakeLists.txt  | cut -d " " -f 2  | cut -d '"' -f 2)
           echo "SHERPA_ONNX_VERSION $SHERPA_ONNX_VERSION"
+          # SHERPA_ONNX_VERSION=1.0.20
 
           src_dir=.github/scripts/node-addon
           sed -i.bak s/SHERPA_ONNX_VERSION/$SHERPA_ONNX_VERSION/g $src_dir/package.json

nodejs-addon-examples/README.md

@@ -183,3 +183,21 @@ rm vits-icefall-zh-aishell3.tar.bz2
 
 node ./test_tts_non_streaming_vits_zh_aishell3.js
 ```
+
+## Spoken language identification with Whisper multi-lingual models
+
+```bash
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-whisper-tiny.tar.bz2
+tar xvf sherpa-onnx-whisper-tiny.tar.bz2
+rm sherpa-onnx-whisper-tiny.tar.bz2
+
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/spoken-language-identification-test-wavs.tar.bz2
+tar xvf spoken-language-identification-test-wavs.tar.bz2
+rm spoken-language-identification-test-wavs.tar.bz2
+
+node ./test_spoken_language_identification.js
+
+# To run VAD + spoken language identification using a microphone
+npm install naudiodon2
+node ./test_vad_spoken_language_identification_microphone.js
+```

nodejs-addon-examples/test_spoken_language_identification.js

@@ -0,0 +1,40 @@
+// Copyright (c)  2023-2024  Xiaomi Corporation (authors: Fangjun Kuang)
+
+const sherpa_onnx = require('sherpa-onnx-node');
+
+function createSpokenLanguageID() {
+  const config = {
+    whisper: {
+      encoder: './sherpa-onnx-whisper-tiny/tiny-encoder.int8.onnx',
+      decoder: './sherpa-onnx-whisper-tiny/tiny-decoder.int8.onnx',
+    },
+    debug: true,
+    numThreads: 1,
+    provider: 'cpu',
+  };
+  return new sherpa_onnx.SpokenLanguageIdentification(config);
+}
+
+const slid = createSpokenLanguageID();
+
+const testWaves = [
+  './spoken-language-identification-test-wavs/ar-arabic.wav',
+  './spoken-language-identification-test-wavs/de-german.wav',
+  './spoken-language-identification-test-wavs/en-english.wav',
+  './spoken-language-identification-test-wavs/fr-french.wav',
+  './spoken-language-identification-test-wavs/pt-portuguese.wav',
+  './spoken-language-identification-test-wavs/es-spanish.wav',
+  './spoken-language-identification-test-wavs/zh-chinese.wav',
+];
+
+const display = new Intl.DisplayNames(['en'], {type: 'language'})
+
+for (let f of testWaves) {
+  const stream = slid.createStream();
+
+  const wave = sherpa_onnx.readWave(f);
+  stream.acceptWaveform({sampleRate: wave.sampleRate, samples: wave.samples});
+
+  const lang = slid.compute(stream);
+  console.log(f.split('/')[2], lang, display.of(lang));
+}

nodejs-addon-examples/test_vad_microphone.js

@@ -26,7 +26,7 @@ function createVad() {
   return new sherpa_onnx.Vad(config, bufferSizeInSeconds);
 }
 
-vad = createVad();
+const vad = createVad();
 
 const bufferSizeInSeconds = 30;
 const buffer =

nodejs-addon-examples/test_vad_spoken_language_identification_microphone.js

@@ -0,0 +1,114 @@
+// Copyright (c)  2023-2024  Xiaomi Corporation (authors: Fangjun Kuang)
+
+const portAudio = require('naudiodon2');
+// console.log(portAudio.getDevices());
+
+const sherpa_onnx = require('sherpa-onnx-node');
+
+function createVad() {
+  // please download silero_vad.onnx from
+  // https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/silero_vad.onnx
+  const config = {
+    sileroVad: {
+      model: './silero_vad.onnx',
+      threshold: 0.5,
+      minSpeechDuration: 0.25,
+      minSilenceDuration: 0.5,
+      windowSize: 512,
+    },
+    sampleRate: 16000,
+    debug: true,
+    numThreads: 1,
+  };
+
+  const bufferSizeInSeconds = 60;
+
+  return new sherpa_onnx.Vad(config, bufferSizeInSeconds);
+}
+
+// Please download test files from
+// https://github.com/k2-fsa/sherpa-onnx/releases/tag/asr-models
+function createSpokenLanguageID() {
+  const config = {
+    whisper: {
+      encoder: './sherpa-onnx-whisper-tiny/tiny-encoder.int8.onnx',
+      decoder: './sherpa-onnx-whisper-tiny/tiny-decoder.int8.onnx',
+    },
+    debug: true,
+    numThreads: 1,
+    provider: 'cpu',
+  };
+  return new sherpa_onnx.SpokenLanguageIdentification(config);
+}
+
+const slid = createSpokenLanguageID();
+const vad = createVad();
+
+const display = new Intl.DisplayNames(['en'], {type: 'language'})
+
+const bufferSizeInSeconds = 30;
+const buffer =
+    new sherpa_onnx.CircularBuffer(bufferSizeInSeconds * vad.config.sampleRate);
+
+
+const ai = new portAudio.AudioIO({
+  inOptions: {
+    channelCount: 1,
+    closeOnError: true,  // Close the stream if an audio error is detected, if
+                         // set false then just log the error
+    deviceId: -1,  // Use -1 or omit the deviceId to select the default device
+    sampleFormat: portAudio.SampleFormatFloat32,
+    sampleRate: vad.config.sampleRate,
+  }
+});
+
+let printed = false;
+let index = 0;
+ai.on('data', data => {
+  const windowSize = vad.config.sileroVad.windowSize;
+  buffer.push(new Float32Array(data.buffer));
+  while (buffer.size() > windowSize) {
+    const samples = buffer.get(buffer.head(), windowSize);
+    buffer.pop(windowSize);
+    vad.acceptWaveform(samples)
+    if (vad.isDetected() && !printed) {
+      console.log(`${index}: Detected speech`)
+      printed = true;
+    }
+
+    if (!vad.isDetected()) {
+      printed = false;
+    }
+
+    while (!vad.isEmpty()) {
+      const segment = vad.front();
+      vad.pop();
+
+      const stream = slid.createStream();
+      stream.acceptWaveform(
+          {samples: segment.samples, sampleRate: vad.config.sampleRate});
+      const lang = slid.compute(stream);
+      const fullLang = display.of(lang);
+
+      const filename = `${index}-${fullLang}-${
+          new Date()
+              .toLocaleTimeString('en-US', {hour12: false})
+              .split(' ')[0]}.wav`;
+      sherpa_onnx.writeWave(
+          filename,
+          {samples: segment.samples, sampleRate: vad.config.sampleRate});
+      const duration = segment.samples.length / vad.config.sampleRate;
+      console.log(`${index} End of speech. Duration: ${
+          duration} seconds.\n Detected language: ${fullLang}`);
+      console.log(`Saved to ${filename}`);
+      index += 1;
+    }
+  }
+});
+
+ai.on('close', () => {
+  console.log('Free resources');
+});
+
+ai.start();
+console.log('Started! Please speak')

scripts/node-addon-api/CMakeLists.txt

@@ -21,6 +21,7 @@ set(srcs
   src/non-streaming-asr.cc
   src/non-streaming-tts.cc
   src/sherpa-onnx-node-addon-api.cc
+  src/spoken-language-identification.cc
   src/streaming-asr.cc
   src/vad.cc
   src/wave-reader.cc

scripts/node-addon-api/lib/non-streaming-asr.js

@@ -37,4 +37,5 @@ class OfflineRecognizer {
 
 module.exports = {
   OfflineRecognizer,
+  OfflineStream,
 }

scripts/node-addon-api/lib/sherpa-onnx.js

@@ -3,6 +3,7 @@ const streaming_asr = require('./streaming-asr.js');
 const non_streaming_asr = require('./non-streaming-asr.js');
 const non_streaming_tts = require('./non-streaming-tts.js');
 const vad = require('./vad.js');
+const slid = require('./spoken-language-identification.js');
 
 module.exports = {
   OnlineRecognizer: streaming_asr.OnlineRecognizer,
@@ -13,4 +14,5 @@ module.exports = {
   Display: streaming_asr.Display,
   Vad: vad.Vad,
   CircularBuffer: vad.CircularBuffer,
+  SpokenLanguageIdentification: slid.SpokenLanguageIdentification,
 }

scripts/node-addon-api/lib/spoken-language-identification.js

@@ -0,0 +1,30 @@
+const addon = require('./addon.js');
+const non_streaming_asr = require('./non-streaming-asr.js');
+
+class SpokenLanguageIdentification {
+  constructor(config) {
+    this.handle = addon.createSpokenLanguageIdentification(config);
+    this.config = config;
+  }
+
+  createStream() {
+    return new non_streaming_asr.OfflineStream(
+        addon.createSpokenLanguageIdentificationOfflineStream(this.handle));
+  }
+
+  // return a string containing the language code (2 characters),
+  // e.g., en, de, fr, es, zh
+  // en -> English
+  // de -> German
+  // fr -> French
+  // es -> Spanish
+  // zh -> Chinese
+  compute(stream) {
+    return addon.spokenLanguageIdentificationCompute(
+        this.handle, stream.handle);
+  }
+}
+
+module.exports = {
+  SpokenLanguageIdentification,
+}

scripts/node-addon-api/src/sherpa-onnx-node-addon-api.cc

@@ -15,13 +15,16 @@ void InitWaveReader(Napi::Env env, Napi::Object exports);
 
 void InitWaveWriter(Napi::Env env, Napi::Object exports);
 
+void InitSpokenLanguageID(Napi::Env env, Napi::Object exports);
+
 Napi::Object Init(Napi::Env env, Napi::Object exports) {
   InitStreamingAsr(env, exports);
   InitNonStreamingAsr(env, exports);
   InitNonStreamingTts(env, exports);
   InitVad(env, exports);
   InitWaveReader(env, exports);
   InitWaveWriter(env, exports);
+  InitSpokenLanguageID(env, exports);
 
   return exports;
 }