1. 在onCreate()法中调用createTtsEngine ()创建语音合成引擎，并构建语音合成回调，用于处理语音合成结果，将语音合成回调传入新建的语音合成引擎中

<code class="java">private void createTtsEngine() {
        MLTtsConfig mlConfigs = new MLTtsConfig()
                .setLanguage(MLTtsConstants.TTS_ZH_HANS)
                .setPerson(MLTtsConstants.TTS_SPEAKER_FEMALE_ZH)
                .setSpeed(0.2f)
                .setVolume(1.0f);
        this.mlTtsEngine = new MLTtsEngine(mlConfigs);
        MLTtsCallback callback = new MLTtsCallback() {
            @Override
            public void onError(String taskId, MLTtsError err) {
            }
 
            @Override
            public void onWarn(String taskId, MLTtsWarn warn) {
            }
 
            @Override
            public void onRangeStart(String taskId, int start, int end) {
            }
 
            @Override
            public void onEvent(String taskId, int eventName, Bundle bundle) {
                if (eventName == MLTtsConstants.EVENT_PLAY_STOP) {
                    if (!bundle.getBoolean(MLTtsConstants.EVENT_PLAY_STOP_INTERRUPTED)) {
                        Toast.makeText(ReadPhotoActivity.this.getApplicationContext(), R.string.read_finish, Toast.LENGTH_SHORT).show();
                    }
                }
            }
        };
        mlTtsEngine.setTtsCallback(callback);
}</code>

1. 设置读取照片、拍照和朗读按钮

<code class="java">this.relativeLayoutLoadPhoto.setOnClickListener(new View.OnClickListener() {
            @Override
            public void onClick(View v) {
ReadPhotoActivity.this.selectLocalImage(ReadPhotoActivity.this.REQUEST_CHOOSE_ORIGINPIC);
            }
        });
this.relativeLayoutTakePhoto.setOnClickListener(new View.OnClickListener() {
            @Override
            public void onClick(View v) {
ReadPhotoActivity.this.takePhoto(ReadPhotoActivity.this.REQUEST_TAKE_PHOTO);
            }
        });</code>

1. 在拍照和读取照片的回调当中启动文本识别startTextAnalyzer()

<code class="java">private void startTextAnalyzer() {
        if (this.isChosen(this.originBitmap)) {
            MLFrame mlFrame = new MLFrame.Creator().setBitmap(this.originBitmap).create();
            Task<MLText> task = this.textAnalyzer.asyncAnalyseFrame(mlFrame);
            task.addOnSuccessListener(new OnSuccessListener<MLText>() {
                @Override
                public void onSuccess(MLText mlText) {
                    // Transacting logic for segment success.
                    if (mlText != null) {
                        ReadPhotoActivity.this.remoteDetectSuccess(mlText);
                    } else {
                        ReadPhotoActivity.this.displayFailure();
                    }
                }
            }).addOnFailureListener(new OnFailureListener() {
                @Override
                public void onFailure(Exception e) {
                    // Transacting logic for segment failure.
                    ReadPhotoActivity.this.displayFailure();
                    return;
                }
            });
        } else {
            Toast.makeText(this.getApplicationContext(), R.string.please_select_picture, Toast.LENGTH_SHORT).show();
            return;
        }
}</code>

1. 识别成功后，点击播放按钮即可开始播放

<code class="java">this.relativeLayoutRead.setOnClickListener(new View.OnClickListener() {
            @Override
            public void onClick(View v) {
                if (ReadPhotoActivity.this.sourceText == null) {
                    Toast.makeText(ReadPhotoActivity.this.getApplicationContext(), R.string.please_select_picture, Toast.LENGTH_SHORT).show();
                } else {
                    ReadPhotoActivity.this.mlTtsEngine.speak(sourceText, MLTtsEngine.QUEUE_APPEND);
                    Toast.makeText(ReadPhotoActivity.this.getApplicationContext(), R.string.read_start, Toast.LENGTH_SHORT).show();
                }
            }
        });</code>

Demo效果

---

搞代码网（gaodaima.com）提供的所有资源部分来自互联网，如果有侵犯您的版权或其他权益，请说明详细缘由并提供版权或权益证明然后发送到邮箱[email protected]‍，我们会在看到邮件的第一时间内为您处理，或直接联系QQ：872152909。本网站采用BY-NC-SA协议进行授权
转载请注明原文链接：超简单集成ML-kit-实现听写单词播报

喜欢 (0)赏

[搞代码]

分享 (0)