0

我建立了新的语言模型、声学模型和字典。当我尝试识别 wav 文件语音时，我得到了

edu.cmu.sphinx.result.Lattice.getNodeID 处的线程“主”java.lang.NullPointerException 中的异常

这是我的代码，

try {
    Configuration configuration = new Configuration();

    configuration.setAcousticModelPath("resource:/edu/cmu/sphinx/models/en-us/en-us");
    configuration.setDictionaryPath("resource:/edu/cmu/sphinx/models/en-us/cmudict-en-us.dict");
    configuration.setLanguageModelPath("resource:/edu/cmu/sphinx/models/en-us/an4.lm");
    configuration.setSampleRate(16000);
    StreamSpeechRecognizer recognizer = new StreamSpeechRecognizer(configuration);
    InputStream stream = new FileInputStream(new File("E:\\Level4\\finalpjt\\mytesting\\Audiorecording\\Sachini_New\\1-39\\SentNum_13.wav"));

    recognizer.startRecognition(stream);


    startRecognition(false).
    while (true) {
        System.out.println("=============" + recognizer.getResult());
        SpeechResult result = recognizer.getResult();
        if (result != null) {
            System.out.println(result.getHypothesis());
        }
    }

} catch (IOException ex) {

    Logger.getLogger(SpeechTest.class.getName()).log(Level.SEVERE, null, ex);
    System.out.println(ex);
}

我的控制台显示，

23:44:14.069 INFO unitManager          CI Unit: th
23:44:14.069 INFO unitManager          CI Unit: u
23:44:14.069 INFO unitManager          CI Unit: uu
23:44:14.070 INFO unitManager          CI Unit: v
23:44:14.070 INFO unitManager          CI Unit: y
23:44:14.074 INFO autoCepstrum         Cepstrum component auto-configured as follows: autoCepstrum {MelFrequencyFilterBank, Denoise, DiscreteCosineTransform2, Lifter}
23:44:14.084 INFO dictionary           Loading dictionary from: jar:file:/C:/Users/Suranga/Downloads/sphinx4-data-5prealpha-20151205.160456-3-sources.jar!/edu/cmu/sphinx/models/en-us/cmudict-en-us.dict
23:44:14.092 INFO dictionary           Loading filler dictionary from: jar:file:/C:/Users/Suranga/Downloads/sphinx4-data-5prealpha-20151205.160456-3-sources.jar!/edu/cmu/sphinx/models/en-us/en-us/noisedict
23:44:14.093 INFO acousticModelLoader  Loading tied-state acoustic model from: jar:file:/C:/Users/Suranga/Downloads/sphinx4-data-5prealpha-20151205.160456-3-sources.jar!/edu/cmu/sphinx/models/en-us/en-us
23:44:14.093 INFO acousticModelLoader  Pool means Entries: 126
23:44:14.093 INFO acousticModelLoader  Pool variances Entries: 126
23:44:14.093 INFO acousticModelLoader  Pool transition_matrices Entries: 42
23:44:14.093 INFO acousticModelLoader  Pool senones Entries: 126
23:44:14.093 INFO acousticModelLoader  Gaussian weights: mixture_weights. Entries: 126
23:44:14.093 INFO acousticModelLoader  Pool senones Entries: 126
23:44:14.094 INFO acousticModelLoader  Context Independent Unit Entries: 42
23:44:14.094 INFO acousticModelLoader  HMM Manager: 42 hmms
23:44:14.094 INFO acousticModel        CompositeSenoneSequences: 0
23:44:14.520 INFO lexTreeLinguist      Max CI Units 43
23:44:14.520 INFO lexTreeLinguist      Unit table size 79507
23:44:14.523 INFO speedTracker         # ----------------------------- Timers----------------------------------------
23:44:14.523 INFO speedTracker         # Name               Count   CurTime   MinTime   MaxTime   AvgTime   TotTime   
23:44:14.524 INFO speedTracker         Load Dictionary      1       0.0100s   0.0100s   0.0100s   0.0100s   0.0100s   
23:44:14.525 INFO speedTracker         Compile              1       0.3580s   0.3580s   0.3580s   0.3580s   0.3580s   
23:44:14.525 INFO speedTracker         Load AM              1       0.0270s   0.0270s   0.0270s   0.0270s   0.0270s   


=============null
23:44:14.665 INFO liveCMN              32.76 20.66 12.53 -1.97 8.54 -9.36 7.33 4.56 1.57 -4.28 -1.49 -5.17 -4.31 


=============null
23:44:14.707 INFO liveCMN              32.86 20.80 12.57 -2.03 8.65 -9.69 7.31 4.69 1.67 -4.50 -1.42 -5.07 -4.33 

=============null
23:44:14.725 INFO speedTracker            This  Time Audio: 3.41s  Proc: 0.11s  Speed: 0.03 X real time
23:44:14.726 INFO speedTracker            Total Time Audio: 3.41s  Proc: 0.11s 0.03 X real time
23:44:14.726 INFO memoryTracker           Mem  Total: 200.50 Mb  Free: 154.22 Mb
23:44:14.726 INFO memoryTracker           Used: This: 46.28 Mb  Avg: 46.28 Mb  Max: 46.28 Mb



=============null
23:44:14.754 INFO liveCMN              34.64 22.84 11.95 -3.18 14.37 -9.93 9.45 7.52 6.26 -7.74 -1.53 -6.11 -5.65 



=============null
23:44:14.779 INFO speedTracker            This  Time Audio: 0.99s  Proc: 0.04s  Speed: 0.04 X real time
23:44:14.780 INFO speedTracker            Total Time Audio: 4.40s  Proc: 0.15s 0.03 X real time
23:44:14.781 INFO memoryTracker           Mem  Total: 200.50 Mb  Free: 129.66 Mb
23:44:14.782 INFO memoryTracker           Used: This: 70.84 Mb  Avg: 58.56 Mb  Max: 70.84 Mb
Exception in thread "main" java.lang.NullPointerException
    at edu.cmu.sphinx.result.Lattice.getNodeID(Lattice.java:330)
    at edu.cmu.sphinx.result.Lattice.<init>(Lattice.java:171)
    at edu.cmu.sphinx.api.SpeechResult.<init>(SpeechResult.java:38)
    at edu.cmu.sphinx.api.AbstractSpeechRecognizer.getResult(AbstractSpeechRecognizer.java:61)
    at etypes.SpeechTest.main(SpeechTest.java:42)
Java Result: 1
BUILD SUCCESSFUL (total time: 1 second)

（由于空间冗余，我删除了 100 多个“ =============null ”行）

4

2 回答 2

0

您的主循环不正确。如果您看一下示例代码，您会发现这AbstractSpeechRecognizer#getResult()是一个状态更改调用，因此您不能使用两次方法来获取相同的对象。相反，您的情况下的有效循环是：

SpeechResult result;
while ((result = recognizer.getResult() != null) {
  // do something with result
}
于 2015-12-07T21:25:18.187 回答
0

您错误地训练了声学模型。你是从立体声训练的，训练用的音频必须是单声道的。

于 2015-12-08T21:30:39.380 回答