How is pocketsphinx used in Android?

PocketSphinx is an open-source speech recognition library that allows for speech recognition on the Android platform. Here is the basic usage of PocketSphinx in Android.

1. Add dependencies: Add the following dependencies in the build.gradle file of the project.

implementation 'edu.cmu.sphinx:pocketsphinx-android:5prealpha-SNAPSHOT'

1. Import resource files: Move the trained speech model and configuration files into the assets folder of the project. These files include language models (.lm file), pronunciation dictionary (.dic file), and configuration files (.conf file).
2. Create a Recognizer object: In the Activity or Fragment where speech recognition is needed, create a Recognizer object and set the paths for the speech model and configuration file.

Recognizer recognizer = new Recognizer(configuration);

1. Initialize Recognizer: Initialize Recognizer in the onCreate method of the Activity.

recognizer = SpeechRecognizerSetup.defaultSetup()
    .setAcousticModel(new File(acousticModelPath))
    .setDictionary(new File(dictionaryPath))
    .getRecognizer();
recognizer.addListener(this);

1. Start Recognition: Use the Recognizer object to initiate voice recognition.

recognizer.startListening();

1. Handle recognition results: By implementing the RecognizerListener interface, you can listen to the results of speech recognition and process them.

@Override
public void onPartialResult(Hypothesis hypothesis) {
    String text = hypothesis.getHypstr();
    // 处理部分识别结果
}

@Override
public void onResult(Hypothesis hypothesis) {
    String text = hypothesis.getHypstr();
    // 处理最终识别结果
}

1. Stop recognition: After recognition is finished, you can call the stopListening method to stop recognition.

recognizer.stopListening();

These are the basic usage of PocketSphinx on Android, which can be further configured and processed according to specific needs.