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我正在学习如何使用 Eclipse 的 Maven 插件来使用 Sphinx4。

我使用了 GitHub 上的转录演示，并对其进行了修改以处理我自己的文件。音频文件为 16 位、单声道、16khz。大约 13 秒长。我注意到它听起来像是在慢动作。

文件中所说的话是，“还要确保您可以轻松访问录音文件，以便在被要求时上传”。

我正在尝试转录文件，但结果非常糟糕。我试图寻找能够彻底解释如何改进结果的论坛帖子或链接，或者我没有正确地做的事情让我无处可去。

我希望提高转录的准确性，但希望避免由于我当前项目必须处理的数据类型的差异而不得不自己训练模型。这是不可能的，我正在使用的代码是否关闭？

代码

（注意：音频文件可在https://instaud.io/8qv获得）

public class App {

public static void main(String[] args) throws Exception {
    System.out.println("Loading models...");

    Configuration configuration = new Configuration();

    // Load model from the jar
    configuration
            .setAcousticModelPath("resource:/edu/cmu/sphinx/models/en-us/en-us");

    // You can also load model from folder
    // configuration.setAcousticModelPath("file:en-us");

    configuration
            .setDictionaryPath("resource:/edu/cmu/sphinx/models/en-us/cmudict-en-us.dict");
    configuration
            .setLanguageModelPath("resource:/edu/cmu/sphinx/models/en-us/en-us.lm.dmp");

    StreamSpeechRecognizer recognizer = new StreamSpeechRecognizer(
            configuration);
    FileInputStream stream = new FileInputStream(new File("/home/tmscanlan/workspace/example/vocaroo_test_revised.wav"));
   // stream.skip(44); I commented this out due to the short length of my file

    // Simple recognition with generic model
    recognizer.startRecognition(stream);
    SpeechResult result;

    while ((result = recognizer.getResult()) != null) {
        // I added the following print statements to get more information
        System.out.println("\ngetWords() before loop: " + result.getWords());
        System.out.format("Hypothesis: %s\n", result.getHypothesis());
        System.out.print("\nThe getResult(): " + result.getResult() 
                + "\nThe getLattice(): " + result.getLattice()); 

        System.out.println("List of recognized words and their times:");
        for (WordResult r : result.getWords()) {
            System.out.println(r);
        }

        System.out.println("Best 3 hypothesis:");
        for (String s : result.getNbest(3))
            System.out.println(s);

    }
    recognizer.stopRecognition();

    // Live adaptation to speaker with speaker profiles


    stream = new FileInputStream(new File("/home/tmscanlan/workspace/example/warren_test_smaller.wav"));
   // stream.skip(44); I commented this out due to the short length of my file

    // Stats class is used to collect speaker-specific data
    Stats stats = recognizer.createStats(1);
    recognizer.startRecognition(stream);
    while ((result = recognizer.getResult()) != null) {
        stats.collect(result);
    }
    recognizer.stopRecognition();

    // Transform represents the speech profile
    Transform transform = stats.createTransform();
    recognizer.setTransform(transform);

    // Decode again with updated transform
    stream = new FileInputStream(new File("/home/tmscanlan/workspace/example/warren_test_smaller.wav"));
   // stream.skip(44); I commented this out due to the short length of my file
    recognizer.startRecognition(stream);
    while ((result = recognizer.getResult()) != null) {
        System.out.format("Hypothesis: %s\n", result.getHypothesis());
    }
    recognizer.stopRecognition();


    System.out.println("...Printing is done..");
}
}

这是输出（我拍的相册）：http: //imgur.com/a/Ou9oH

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1 回答 1

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正如 Nikolay 所说，音频听起来很奇怪，可能是因为您没有以正确的方式重新采样。要将音频从原始 22050 Hz 下采样到所需的 16kHz，您可以运行以下命令：

sox Vocaroo.wav -r 16000 Vocaroo16.wav

Vocaroo16.wav 听起来会好很多，而且它（可能）会给你更好的 ASR 结果。

于 2015-06-24T11:30:41.817 回答