whisper_android 다운로드 - whisper_android 소스 코드 다운로드

whisper_android

기타 소스코드

1.0.0

다운로드

Openai Whisper 및 Tensorflow Lite를 사용한 오프라인 음성 인식

이 안내서는 오디오 녹음 및 음성 인식을 위해 Android 앱에서 Whisper and Recorder 클래스를 통합하는 방법을 설명합니다.

속삭임 ASR 통합 안내서

다음은 Whisper 및 Recorder 사용하기위한 별도의 코드 스 니펫입니다.

속삭임 (음성 인식)

초기화 및 구성 :

 // Initialize Whisper
Whisper mWhisper = new Whisper ( this ); // Create Whisper instance

// Load model and vocabulary for Whisper
String modelPath = getFilePath ( "whisper-tiny.tflite" ); // Provide model file path
String vocabPath = getFilePath ( "filters_vocab_multilingual.bin" ); // Provide vocabulary file path
mWhisper . loadModel ( modelPath , vocabPath , true ); // Load model and set multilingual mode

// Set a listener for Whisper to handle updates and results
mWhisper . setListener ( new IWhisperListener () {
    @ Override
    public void onUpdateReceived ( String message ) {
        // Handle Whisper status updates
    }

    @ Override
    public void onResultReceived ( String result ) {
        // Handle transcribed results
    }
});

전사:

 // Set the audio file path for transcription. Audio format should be in 16K, mono, 16bits
String waveFilePath = getFilePath ( "your_audio_file.wav" ); // Provide audio file path
mWhisper . setFilePath ( waveFilePath ); // Set audio file path

// Start transcription
mWhisper . setAction ( Whisper . ACTION_TRANSCRIBE ); // Set action to transcription
mWhisper . start (); // Start transcription

// Perform other operations
// Add your additional code here

// Stop transcription
mWhisper . stop (); // Stop transcription

레코더 (오디오 녹음)

초기화 및 구성 :

 // Initialize Recorder
Recorder mRecorder = new Recorder ( this ); // Create Recorder instance

// Set a listener for Recorder to handle updates and audio data
mRecorder . setListener ( new IRecorderListener () {
    @ Override
    public void onUpdateReceived ( String message ) {
        // Handle Recorder status updates
    }

    @ Override
    public void onDataReceived ( float [] samples ) {
        // Handle audio data received during recording
        // You can forward this data to Whisper for live recognition using writeBuffer()
        // mWhisper.writeBuffer(samples);
    }
});

녹음:

 // Check and request recording permissions
checkRecordPermission (); // Check and request recording permissions

// Set the audio file path for recording. It record audio in 16K, mono, 16bits format
String waveFilePath = getFilePath ( "your_audio_file.wav" ); // Provide audio file path
mRecorder . setFilePath ( waveFilePath ); // Set audio file path

// Start recording
mRecorder . start (); // Start recording

// Perform other operations
// Add your additional code here

// Stop recording
mRecorder . stop (); // Stop recording