Qt实现高准确率的语音识别

#include <QCoreApplication>
#include <QAudioInput>
#include <QBuffer>
#include <QFile>
#include <vosk_api.h>
#include <iostream>

class SpeechRecognizer : public QObject {
    Q_OBJECT
public:
    SpeechRecognizer(const QString &modelPath, QObject *parent = nullptr)
        : QObject(parent) {
        model = vosk_model_new(modelPath.toStdString().c_str());
        recognizer = vosk_recognizer_new(model, 16000.0);
    }

    ~SpeechRecognizer() {
        vosk_recognizer_free(recognizer);
        vosk_model_free(model);
    }

    void startRecognition() {
        QAudioFormat format;
        format.setSampleRate(16000);
        format.setChannelCount(1);
        format.setSampleSize(16);
        format.setCodec("audio/pcm");
        format.setByteOrder(QAudioFormat::LittleEndian);
        format.setSampleType(QAudioFormat::SignedInt);

        audioInput = new QAudioInput(format, this);
        audioBuffer.open(QIODevice::WriteOnly | QIODevice::Truncate);
        audioInput->start(&audioBuffer);

        connect(audioInput, &QAudioInput::stateChanged, this, &SpeechRecognizer::onStateChanged);
    }

private slots:
    void onStateChanged(QAudio::State state) {
        if (state == QAudio::IdleState) {
            audioInput->stop();
            audioBuffer.close();
            processAudio();
        }
    }

    void processAudio() {
        QByteArray audioData = audioBuffer.buffer();
        int length = audioData.size();
        const char *data = audioData.data();

        if (vosk_recognizer_accept_waveform(recognizer, data, length)) {
            std::cout << vosk_recognizer_result(recognizer) << std::endl;
        } else {
            std::cout << vosk_recognizer_partial_result(recognizer) << std::endl;
        }
    }

private:
    VoskModel *model;
    VoskRecognizer *recognizer;
    QAudioInput *audioInput;
    QBuffer audioBuffer;
};

int main(int argc, char *argv[]) {
    QCoreApplication app(argc, argv);

    QString modelPath = "/path/to/vosk-model"; // 将此路径替换为实际模型路径
    SpeechRecognizer recognizer(modelPath);
    recognizer.startRecognition();

    return app.exec();
}