前言
實不相瞞，小編作為了一個湖南人，時常被說普通話不夠標(biāo)準(zhǔn)，不僅N/L不分，有時候還分不出來卷舌音，經(jīng)常鬧笑話，導(dǎo)致小編十分苦惱。有時看著電視里的主持人流利的口播，和完全標(biāo)準(zhǔn)的繞口令都羨慕不已，常?；孟胫约河幸惶煲材苷f一口流利的繞口令。恰巧，小編昨日上網(wǎng)的時候被推送了集成了華為HMS ML Kit實時語音服務(wù)的小游戲-Tongue Twister，這款游戲究竟是如何玩轉(zhuǎn)繞口令的，接下來就和小編一起一探究竟吧！
應(yīng)用場景
Tongue Twister 就是一款集成了華為HMS ML Kit實時語音識別服務(wù)的繞口令小游戲，游戲中一共有5個關(guān)卡，每一個關(guān)卡就是一段繞口令，通過秘訣就是憑借強(qiáng)大的實時語音識別，實時語音識別服務(wù)覆蓋日常生活及工作中的眾多領(lǐng)域，并且深度優(yōu)化了購物搜索、影視搜索、音樂搜索以及導(dǎo)航等場景中的識別能力，識別準(zhǔn)確率高，可輕松檢測闖關(guān)者的發(fā)音，如若發(fā)音清晰標(biāo)準(zhǔn)即可過關(guān)，
下面我們一起來看看這個游戲的正確打開方式吧！
這么樣，是不是心動了，那就一起來試試自己定制屬于你的繞口令大闖關(guān)吧！
開發(fā)步驟
1.請參見云端鑒權(quán)信息實用須知，設(shè)置您應(yīng)用的鑒權(quán)信息。
2.用戶調(diào)用接口創(chuàng)建一個語音識別器。
MLAsrRecognizer mSpeechRecognizer = MLAsrRecognizer.createAsrRecognizer(context);
3.創(chuàng)建語音識別結(jié)果監(jiān)聽器回調(diào)。
/**
?* Use the callback to implement the MLAsrListener API and methods in the API.
?*/
protected class SpeechRecognitionListener implements MLAsrListener {
@Override
public void onStartListening() {
// The recorder starts to receive speech.
??? }
@Override
public void onStartingOfSpeech() {
// The user starts to speak, that is, the speech recognizer detects that the user starts to speak.
??? }
@Override
public void onVoiceDataReceived(byte[] data, float energy, Bundle bundle) {
// Return the original PCM stream and audio power to the user.
??? }
@Override
public void onRecognizingResults(Bundle partialResults) {
// Receive the recognized text from MLAsrRecognizer.
??? }
@Override
public void onResults(Bundle results) {
// Text data of ASR.
??????? }
??? }
@Override
public void onError(int error, String errorMessage) {
// If you don't add this, there will be no response after you cut the network
??? }
@Override
public void onState(int state, Bundle params) {
// Notify the app status change.
??? }
}
4.將新建的結(jié)果監(jiān)聽器回調(diào)與語音識別器綁定
mSpeechRecognizer.setAsrListener(new SpeechRecognitionListener());
5.配置識別參數(shù)，調(diào)用啟動語音識別
// Set parameters and start the audio device.
Intent mSpeechRecognizerIntent = new Intent(MLAsrConstants.ACTION_HMS_ASR_SPEECH);
mSpeechRecognizerIntent
??????? // Set the language that can be recognized to English. If this parameter is not set,
??????? // English is recognized by default. Example: "zh-CN": Chinese;"en-US": English;"fr-FR": French;"es-ES": Spanish;"de-DE": German;"it-IT": Italian.
??????? .putExtra(MLAsrConstants.LANGUAGE, language)
// Set to return the recognition result along with the speech. If you ignore the setting, this mode is used by default. Options are as follows:
??????? // MLAsrConstants.FEATURE_WORDFLUX: Recognizes and returns texts through onRecognizingResults.
?????? ?// MLAsrConstants.FEATURE_ALLINONE: After the recognition is complete, texts are returned through onResults.
??????? .putExtra(MLAsrConstants.FEATURE, MLAsrConstants.FEATURE_WORDFLUX);
mSpeechRecognizer.startRecognizing(mSpeechRecognizerIntent);
6.識別完成后，釋放資源
if (mSpeechRecognizer != null) {
mSpeechRecognizer.destroy();
mSpeechRecognizer = null;
}
maven地址
buildscript {
??? repositories {
??????? maven { url
'https://developer.huawei.com/repo/' }
??? }
}
allprojects {
??? repositories {
??????? maven { url
'https://developer.huawei.com/repo/' }
??? }
}
引入SDK
dependencies {
??? // Automatic speech recognition Long voice SDK.
??? implementation 'com.huawei.hms:ml-computer-voice-realtimetranscription:2.0.3.300'
??? // Automatic speech recognition SDK.
??? implementation 'com.huawei.hms:ml-computer-voice-asr:2.0.3.300'
??? // Automatic speech recognition plugin.
??? implementation 'com.huawei.hms:ml-computer-voice-asr-plugin:2.0.3.300'
}
清單文件
<manifest
??? ...
??? <
meta-data
android:name="com.huawei.hms.ml.DEPENDENCY"
android:value="ocr/>
??? ...
</
manifest>
權(quán)限
<uses-permission android:name="android.permission.RECORD_AUDIO" />
動態(tài)權(quán)限申請
private void requestCameraPermission() {
final String[] permissions = new String[]{Manifest.permission.RECORD_AUDIO};
if (!ActivityCompat.shouldShowRequestPermissionRationale(this,
??????????? Manifest.permission.
RECORD_AUDIO)) { ActivityCompat.requestPermissions(this,
??????????????? permissions,
??????????????? TongueTwisterActivity.
AUDIO_CODE);
return;
??? }
}
總結(jié)
除了在游戲當(dāng)中的應(yīng)用，實時語音識別服務(wù)在使用購物類App搜索商品時，可以將語音描述的商品名稱或特征識別為文字從而搜索到目標(biāo)商品。同樣，在使用音樂類App時，可以將語音輸入的歌名或歌手識別為文字進(jìn)而搜索歌曲。另外，司機(jī)在駕駛過程中不方便輸入文字時，可以將輸入的語音轉(zhuǎn)換為文字繼而搜索目的地，讓行車更加安全。
GitHub Demo Code
欲了解更多詳情，請參閱：
華為開發(fā)者聯(lián)盟官網(wǎng)：
https://developer.huawei.com/consumer/cn/hms/huawei-mlkit
獲取開發(fā)指導(dǎo)文檔：
參與開發(fā)者討論請到Reddit社區(qū)：https://www.reddit.com/r/HuaweiDevelopers/
下載demo和示例代碼請到Github：https://github.com/HMS-Core
解決集成問題請到Stack Overflow：
https://stackoverflow.com/questions/tagged/huawei-mobile-services?tab=Newest
