decoder for open vocabulary keyword spotting (#505)

* various fixes to ContextGraph to support open vocabulary keywords decoder

* Add keyword spotter runtime

* Add binary

* First version works

* Minor fixes

* update text2token

* default values

* Add jni for kws

* add kws android project

* Minor fixes

* Remove unused interface

* Minor fixes

* Add workflow

* handle extra info in texts

* Minor fixes

* Add more comments

* Fix ci

* fix cpp style

* Add input box in android demo so that users can specify their keywords

* Fix cpp style

* Fix comments

* Minor fixes

* Minor fixes

* minor fixes

* Minor fixes

* Minor fixes

* Add CI

* Fix code style

* cpplint

* Fix comments

* Fix error
This commit is contained in:
Wei Kang
2024-01-20 22:52:41 +08:00
committed by GitHub
parent bf1dd3daf6
commit b6c020901a
77 changed files with 3316 additions and 68 deletions

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<?xml version="1.0" encoding="utf-8"?>
<manifest xmlns:android="http://schemas.android.com/apk/res/android"
xmlns:tools="http://schemas.android.com/tools">
<uses-permission android:name="android.permission.RECORD_AUDIO" />
<application
android:allowBackup="true"
android:dataExtractionRules="@xml/data_extraction_rules"
android:fullBackupContent="@xml/backup_rules"
android:icon="@mipmap/ic_launcher"
android:label="@string/app_name"
android:roundIcon="@mipmap/ic_launcher_round"
android:supportsRtl="true"
android:theme="@style/Theme.SherpaOnnx"
tools:targetApi="31">
<activity
android:name=".MainActivity"
android:exported="true">
<intent-filter>
<action android:name="android.intent.action.MAIN" />
<category android:name="android.intent.category.LAUNCHER" />
</intent-filter>
<meta-data
android:name="android.app.lib_name"
android:value="" />
</activity>
</application>
</manifest>

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package com.k2fsa.sherpa.onnx
import android.Manifest
import android.content.pm.PackageManager
import android.media.AudioFormat
import android.media.AudioRecord
import android.media.MediaRecorder
import android.os.Bundle
import android.text.method.ScrollingMovementMethod
import android.util.Log
import android.widget.Button
import android.widget.EditText
import android.widget.TextView
import android.widget.Toast
import androidx.appcompat.app.AppCompatActivity
import androidx.core.app.ActivityCompat
import com.k2fsa.sherpa.onnx.*
import kotlin.concurrent.thread
private const val TAG = "sherpa-onnx"
private const val REQUEST_RECORD_AUDIO_PERMISSION = 200
class MainActivity : AppCompatActivity() {
private val permissions: Array<String> = arrayOf(Manifest.permission.RECORD_AUDIO)
private lateinit var model: SherpaOnnxKws
private var audioRecord: AudioRecord? = null
private lateinit var recordButton: Button
private lateinit var textView: TextView
private lateinit var inputText: EditText
private var recordingThread: Thread? = null
private val audioSource = MediaRecorder.AudioSource.MIC
private val sampleRateInHz = 16000
private val channelConfig = AudioFormat.CHANNEL_IN_MONO
// Note: We don't use AudioFormat.ENCODING_PCM_FLOAT
// since the AudioRecord.read(float[]) needs API level >= 23
// but we are targeting API level >= 21
private val audioFormat = AudioFormat.ENCODING_PCM_16BIT
private var idx: Int = 0
private var lastText: String = ""
@Volatile
private var isRecording: Boolean = false
override fun onRequestPermissionsResult(
requestCode: Int, permissions: Array<String>, grantResults: IntArray
) {
super.onRequestPermissionsResult(requestCode, permissions, grantResults)
val permissionToRecordAccepted = if (requestCode == REQUEST_RECORD_AUDIO_PERMISSION) {
grantResults[0] == PackageManager.PERMISSION_GRANTED
} else {
false
}
if (!permissionToRecordAccepted) {
Log.e(TAG, "Audio record is disallowed")
finish()
}
Log.i(TAG, "Audio record is permitted")
}
override fun onCreate(savedInstanceState: Bundle?) {
super.onCreate(savedInstanceState)
setContentView(R.layout.activity_main)
ActivityCompat.requestPermissions(this, permissions, REQUEST_RECORD_AUDIO_PERMISSION)
Log.i(TAG, "Start to initialize model")
initModel()
Log.i(TAG, "Finished initializing model")
recordButton = findViewById(R.id.record_button)
recordButton.setOnClickListener { onclick() }
textView = findViewById(R.id.my_text)
textView.movementMethod = ScrollingMovementMethod()
inputText = findViewById(R.id.input_text)
}
private fun onclick() {
if (!isRecording) {
var keywords = inputText.text.toString()
Log.i(TAG, keywords)
keywords = keywords.replace("\n", "/")
// If keywords is an empty string, it just resets the decoding stream
// always returns true in this case.
// If keywords is not empty, it will create a new decoding stream with
// the given keywords appended to the default keywords.
// Return false if errors occured when adding keywords, true otherwise.
val status = model.reset(keywords)
if (!status) {
Log.i(TAG, "Failed to reset with keywords.")
Toast.makeText(this, "Failed to set keywords.", Toast.LENGTH_LONG).show();
return
}
val ret = initMicrophone()
if (!ret) {
Log.e(TAG, "Failed to initialize microphone")
return
}
Log.i(TAG, "state: ${audioRecord?.state}")
audioRecord!!.startRecording()
recordButton.setText(R.string.stop)
isRecording = true
textView.text = ""
lastText = ""
idx = 0
recordingThread = thread(true) {
processSamples()
}
Log.i(TAG, "Started recording")
} else {
isRecording = false
audioRecord!!.stop()
audioRecord!!.release()
audioRecord = null
recordButton.setText(R.string.start)
Log.i(TAG, "Stopped recording")
}
}
private fun processSamples() {
Log.i(TAG, "processing samples")
val interval = 0.1 // i.e., 100 ms
val bufferSize = (interval * sampleRateInHz).toInt() // in samples
val buffer = ShortArray(bufferSize)
while (isRecording) {
val ret = audioRecord?.read(buffer, 0, buffer.size)
if (ret != null && ret > 0) {
val samples = FloatArray(ret) { buffer[it] / 32768.0f }
model.acceptWaveform(samples, sampleRate=sampleRateInHz)
while (model.isReady()) {
model.decode()
}
val text = model.keyword
var textToDisplay = lastText;
if(text.isNotBlank()) {
if (lastText.isBlank()) {
textToDisplay = "${idx}: ${text}"
} else {
textToDisplay = "${idx}: ${text}\n${lastText}"
}
lastText = "${idx}: ${text}\n${lastText}"
idx += 1
}
runOnUiThread {
textView.text = textToDisplay
}
}
}
}
private fun initMicrophone(): Boolean {
if (ActivityCompat.checkSelfPermission(
this, Manifest.permission.RECORD_AUDIO
) != PackageManager.PERMISSION_GRANTED
) {
ActivityCompat.requestPermissions(this, permissions, REQUEST_RECORD_AUDIO_PERMISSION)
return false
}
val numBytes = AudioRecord.getMinBufferSize(sampleRateInHz, channelConfig, audioFormat)
Log.i(
TAG, "buffer size in milliseconds: ${numBytes * 1000.0f / sampleRateInHz}"
)
audioRecord = AudioRecord(
audioSource,
sampleRateInHz,
channelConfig,
audioFormat,
numBytes * 2 // a sample has two bytes as we are using 16-bit PCM
)
return true
}
private fun initModel() {
// Please change getModelConfig() to add new models
// See https://k2-fsa.github.io/sherpa/onnx/kws/pretrained_models/index.html
// for a list of available models
val type = 0
Log.i(TAG, "Select model type ${type}")
val config = KeywordSpotterConfig(
featConfig = getFeatureConfig(sampleRate = sampleRateInHz, featureDim = 80),
modelConfig = getModelConfig(type = type)!!,
keywordsFile = getKeywordsFile(type = type)!!,
)
model = SherpaOnnxKws(
assetManager = application.assets,
config = config,
)
}
}

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// Copyright (c) 2024 Xiaomi Corporation
package com.k2fsa.sherpa.onnx
import android.content.res.AssetManager
data class OnlineTransducerModelConfig(
var encoder: String = "",
var decoder: String = "",
var joiner: String = "",
)
data class OnlineModelConfig(
var transducer: OnlineTransducerModelConfig = OnlineTransducerModelConfig(),
var tokens: String,
var numThreads: Int = 1,
var debug: Boolean = false,
var provider: String = "cpu",
var modelType: String = "",
)
data class FeatureConfig(
var sampleRate: Int = 16000,
var featureDim: Int = 80,
)
data class KeywordSpotterConfig(
var featConfig: FeatureConfig = FeatureConfig(),
var modelConfig: OnlineModelConfig,
var maxActivePaths: Int = 4,
var keywordsFile: String = "keywords.txt",
var keywordsScore: Float = 1.5f,
var keywordsThreshold: Float = 0.25f,
var numTrailingBlanks: Int = 2,
)
class SherpaOnnxKws(
assetManager: AssetManager? = null,
var config: KeywordSpotterConfig,
) {
private val ptr: Long
init {
if (assetManager != null) {
ptr = new(assetManager, config)
} else {
ptr = newFromFile(config)
}
}
protected fun finalize() {
delete(ptr)
}
fun acceptWaveform(samples: FloatArray, sampleRate: Int) =
acceptWaveform(ptr, samples, sampleRate)
fun inputFinished() = inputFinished(ptr)
fun decode() = decode(ptr)
fun isReady(): Boolean = isReady(ptr)
fun reset(keywords: String): Boolean = reset(ptr, keywords)
val keyword: String
get() = getKeyword(ptr)
private external fun delete(ptr: Long)
private external fun new(
assetManager: AssetManager,
config: KeywordSpotterConfig,
): Long
private external fun newFromFile(
config: KeywordSpotterConfig,
): Long
private external fun acceptWaveform(ptr: Long, samples: FloatArray, sampleRate: Int)
private external fun inputFinished(ptr: Long)
private external fun getKeyword(ptr: Long): String
private external fun reset(ptr: Long, keywords: String): Boolean
private external fun decode(ptr: Long)
private external fun isReady(ptr: Long): Boolean
companion object {
init {
System.loadLibrary("sherpa-onnx-jni")
}
}
}
fun getFeatureConfig(sampleRate: Int, featureDim: Int): FeatureConfig {
return FeatureConfig(sampleRate = sampleRate, featureDim = featureDim)
}
/*
Please see
https://k2-fsa.github.io/sherpa/onnx/kws/pretrained_models/index.html
for a list of pre-trained models.
We only add a few here. Please change the following code
to add your own. (It should be straightforward to add a new model
by following the code)
@param type
0 - sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01 (Chinese)
https://www.modelscope.cn/models/pkufool/sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/summary
1 - sherpa-onnx-kws-zipformer-gigaspeech-3.3M-2024-01-01 (English)
https://www.modelscope.cn/models/pkufool/sherpa-onnx-kws-zipformer-gigaspeech-3.3M-2024-01-01/summary
*/
fun getModelConfig(type: Int): OnlineModelConfig? {
when (type) {
0 -> {
val modelDir = "sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01"
return OnlineModelConfig(
transducer = OnlineTransducerModelConfig(
encoder = "$modelDir/encoder-epoch-12-avg-2-chunk-16-left-64.onnx",
decoder = "$modelDir/decoder-epoch-12-avg-2-chunk-16-left-64.onnx",
joiner = "$modelDir/joiner-epoch-12-avg-2-chunk-16-left-64.onnx",
),
tokens = "$modelDir/tokens.txt",
modelType = "zipformer2",
)
}
1 -> {
val modelDir = "sherpa-onnx-kws-zipformer-gigaspeech-3.3M-2024-01-01"
return OnlineModelConfig(
transducer = OnlineTransducerModelConfig(
encoder = "$modelDir/encoder-epoch-12-avg-2-chunk-16-left-64.onnx",
decoder = "$modelDir/decoder-epoch-12-avg-2-chunk-16-left-64.onnx",
joiner = "$modelDir/joiner-epoch-12-avg-2-chunk-16-left-64.onnx",
),
tokens = "$modelDir/tokens.txt",
modelType = "zipformer2",
)
}
}
return null;
}
/*
* Get the default keywords for each model.
* Caution: The types and modelDir should be the same as those in getModelConfig
* function above.
*/
fun getKeywordsFile(type: Int) : String {
when (type) {
0 -> {
val modelDir = "sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01"
return "$modelDir/keywords.txt"
}
1 -> {
val modelDir = "sherpa-onnx-kws-zipformer-gigaspeech-3.3M-2024-01-01"
return "$modelDir/keywords.txt"
}
}
return "";
}

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// Copyright (c) 2023 Xiaomi Corporation
package com.k2fsa.sherpa.onnx
import android.content.res.AssetManager
class WaveReader {
companion object {
// Read a mono wave file asset
// The returned array has two entries:
// - the first entry contains an 1-D float array
// - the second entry is the sample rate
external fun readWaveFromAsset(
assetManager: AssetManager,
filename: String,
): Array<Any>
// Read a mono wave file from disk
// The returned array has two entries:
// - the first entry contains an 1-D float array
// - the second entry is the sample rate
external fun readWaveFromFile(
filename: String,
): Array<Any>
init {
System.loadLibrary("sherpa-onnx-jni")
}
}
}

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*.so
*.txt
*.onnx
*.wav

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<?xml version="1.0" encoding="utf-8"?>
<androidx.constraintlayout.widget.ConstraintLayout xmlns:android="http://schemas.android.com/apk/res/android"
xmlns:app="http://schemas.android.com/apk/res-auto"
xmlns:tools="http://schemas.android.com/tools"
android:layout_width="match_parent"
android:layout_height="match_parent"
tools:context=".MainActivity">
<LinearLayout
android:layout_width="match_parent"
android:layout_height="match_parent"
android:gravity="center"
android:orientation="vertical">
<EditText
android:id="@+id/input_text"
android:layout_width="match_parent"
android:layout_height="320dp"
android:layout_weight="2.5"
android:hint="@string/keyword_hint"
android:scrollbars="vertical"
android:text=""
android:textSize="15dp" />
<TextView
android:id="@+id/my_text"
android:layout_width="match_parent"
android:layout_height="443dp"
android:layout_weight="2.5"
android:padding="24dp"
android:scrollbars="vertical"
android:singleLine="false"
android:text="@string/hint"
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android:layout_width="wrap_content"
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<?xml version="1.0" encoding="utf-8"?>
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<resources xmlns:tools="http://schemas.android.com/tools">
<!-- Base application theme. -->
<style name="Theme.SherpaOnnx" parent="Theme.MaterialComponents.DayNight.DarkActionBar">
<!-- Primary brand color. -->
<item name="colorPrimary">@color/purple_200</item>
<item name="colorPrimaryVariant">@color/purple_700</item>
<item name="colorOnPrimary">@color/black</item>
<!-- Secondary brand color. -->
<item name="colorSecondary">@color/teal_200</item>
<item name="colorSecondaryVariant">@color/teal_200</item>
<item name="colorOnSecondary">@color/black</item>
<!-- Status bar color. -->
<item name="android:statusBarColor">?attr/colorPrimaryVariant</item>
<!-- Customize your theme here. -->
</style>
</resources>

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<?xml version="1.0" encoding="utf-8"?>
<resources>
<color name="purple_200">#FFBB86FC</color>
<color name="purple_500">#FF6200EE</color>
<color name="purple_700">#FF3700B3</color>
<color name="teal_200">#FF03DAC5</color>
<color name="teal_700">#FF018786</color>
<color name="black">#FF000000</color>
<color name="white">#FFFFFFFF</color>
</resources>

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<resources>
<string name="app_name">KWS with Next-gen Kaldi</string>
<string name="hint">Click the Start button to play keyword spotting with Next-gen Kaldi.
\n
\n\n\n
The source code and pre-trained models are publicly available.
Please see https://github.com/k2-fsa/sherpa-onnx for details.
</string>
<string name="keyword_hint">Input your keywords here, one keyword perline.</string>
<string name="start">Start</string>
<string name="stop">Stop</string>
</resources>

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<resources xmlns:tools="http://schemas.android.com/tools">
<!-- Base application theme. -->
<style name="Theme.SherpaOnnx" parent="Theme.MaterialComponents.DayNight.DarkActionBar">
<!-- Primary brand color. -->
<item name="colorPrimary">@color/purple_500</item>
<item name="colorPrimaryVariant">@color/purple_700</item>
<item name="colorOnPrimary">@color/white</item>
<!-- Secondary brand color. -->
<item name="colorSecondary">@color/teal_200</item>
<item name="colorSecondaryVariant">@color/teal_700</item>
<item name="colorOnSecondary">@color/black</item>
<!-- Status bar color. -->
<item name="android:statusBarColor">?attr/colorPrimaryVariant</item>
<!-- Customize your theme here. -->
</style>
</resources>

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<?xml version="1.0" encoding="utf-8"?><!--
Sample backup rules file; uncomment and customize as necessary.
See https://developer.android.com/guide/topics/data/autobackup
for details.
Note: This file is ignored for devices older that API 31
See https://developer.android.com/about/versions/12/backup-restore
-->
<full-backup-content>
<!--
<include domain="sharedpref" path="."/>
<exclude domain="sharedpref" path="device.xml"/>
-->
</full-backup-content>

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<?xml version="1.0" encoding="utf-8"?><!--
Sample data extraction rules file; uncomment and customize as necessary.
See https://developer.android.com/about/versions/12/backup-restore#xml-changes
for details.
-->
<data-extraction-rules>
<cloud-backup>
<!-- TODO: Use <include> and <exclude> to control what is backed up.
<include .../>
<exclude .../>
-->
</cloud-backup>
<!--
<device-transfer>
<include .../>
<exclude .../>
</device-transfer>
-->
</data-extraction-rules>