whisper_android
1.0.0
本指南解释了如何将耳语和录音机类集成到Android应用中,以进行音频记录和语音识别。
这是用于使用Whisper和Recorder单独代码片段:
初始化和配置:
// 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
}
});转录:
// 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初始化和配置:
// 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);
}
});记录:
// 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请将这些代码片段适应您的特定用例,提供正确的文件路径,并在您的应用程序中适当处理异常。
注意:使用Recorder类时,请确保您在应用程序中具有必要的权限,错误处理和文件路径管理。
低语ASR是将语音转录为文本的有力工具。但是,请记住,处理音频数据和转录可能需要在Android应用程序中仔细同步和错误处理,以确保使用平稳的用户体验。
享受使用Whisper ASR Android应用程序来增强您的语音识别功能!