Question

我正试图实施一个＆＃34;听写＆＃34;使用PocketSphinx on Android和Keith Vertanen language models之一的功能。我已将the sample修改为如下所示：

private void setupRecognizer(File assetsDir) throws IOException {
 recognizer = defaultSetup()
     .setAcousticModel(new File(assetsDir, "en-us-ptm"))
     .setDictionary(new File(assetsDir, "cmudict-en-us.dict"))
     .setRawLogDir(assetsDir)
     .setKeywordThreshold(1e-45f)
     .setBoolean("-allphone_ci", true)
      .getRecognizer();
  recognizer.addListener(this);
  File ngramModel = new File(assetsDir, "lm_csr_5k_nvp_2gram.arpa");
  recognizer.addNgramSearch(NGRAM_SEARCH, ngramModel);

其中lm_csr_5k_nvp_2gram.arpa来自Keith Vertanen网站上的5K NVP 2克下载量。

我收到此错误：

1 18:04:29.861 2837-2863/? I/SpeechRecognizer: Load N-gram model /storage/emulated/0/Android/data/edu.cmu.sphinx.pocketsphinx/files/sync/lm_csr_5k_nvp_2gram.arpa
01-31 18:04:29.861 2837-2863/? I/cmusphinx: INFO: ngram_model_trie.c(399): Trying to read LM in trie binary format
01-31 18:04:29.861 2837-2863/? I/cmusphinx: INFO: ngram_model_trie.c(410): Header doesn't match
01-31 18:04:29.861 2837-2863/? I/cmusphinx: INFO: ngram_model_trie.c(177): Trying to read LM in arpa format
01-31 18:04:29.862 2837-2863/? E/cmusphinx: ERROR: "ngram_model_trie.c", line 103: Bad ngram count
01-31 18:04:29.862 2837-2863/? I/cmusphinx: INFO: ngram_model_trie.c(489): Trying to read LM in DMP format
01-31 18:04:29.862 2837-2863/? E/cmusphinx: ERROR: "ngram_model_trie.c", line 500: Wrong magic header size number a5c6461: /storage/emulated/0/Android/data/edu.cmu.sphinx.pocketsphinx/files/sync/lm_csr_5k_nvp_2gram.arpa is not a dump file
01-31 18:04:29.864 2837-2863/? E/AndroidRuntime: FATAL EXCEPTION: AsyncTask #1
                                                 Process: edu.cmu.sphinx.pocketsphinx, PID: 2837
                                                 java.lang.RuntimeException: An error occurred while executing doInBackground()
                                                     at android.os.AsyncTask$3.done(AsyncTask.java:309)
                                                     at java.util.concurrent.FutureTask.finishCompletion(FutureTask.java:354)
                                                     at java.util.concurrent.FutureTask.setException(FutureTask.java:223)
                                                     at java.util.concurrent.FutureTask.run(FutureTask.java:242)
                                                     at android.os.AsyncTask$SerialExecutor$1.run(AsyncTask.java:234)
                                                     at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1113)
                                                     at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:588)
                                                     at java.lang.Thread.run(Thread.java:818)
                                                  Caused by: java.lang.RuntimeException: Decoder_setLmFile returned -1
                                                     at edu.cmu.pocketsphinx.PocketSphinxJNI.Decoder_setLmFile(Native Method)
                                                     at edu.cmu.pocketsphinx.Decoder.setLmFile(Decoder.java:172)
                                                     at edu.cmu.pocketsphinx.SpeechRecognizer.addNgramSearch(SpeechRecognizer.java:247)
                                                     at edu.cmu.pocketsphinx.demo.PocketSphinxActivity.setupRecognizer(PocketSphinxActivity.java:161)
                                                     at edu.cmu.pocketsphinx.demo.PocketSphinxActivity.access$000(PocketSphinxActivity.java:50)
                                                     at edu.cmu.pocketsphinx.demo.PocketSphinxActivity$1.doInBackground(PocketSphinxActivity.java:72)
                                                     at edu.cmu.pocketsphinx.demo.PocketSphinxActivity$1.doInBackground(PocketSphinxActivity.java:66)
                                                     at android.os.AsyncTask$2.call(AsyncTask.java:295)
                                                     at java.util.concurrent.FutureTask.run(FutureTask.java:237)
                                                     at android.os.AsyncTask$SerialExecutor$1.run(AsyncTask.java:234) 
                                                     at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1113) 
                                                     at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:588) 
                                                     at java.lang.Thread.run(Thread.java:818)

行

01-31 18:04:29.861 2837-2863/? I/cmusphinx: INFO: ngram_model_trie.c(177): Trying to read LM in arpa format
01-31 18:04:29.862 2837-2863/? E/cmusphinx: ERROR: "ngram_model_trie.c", line 103: Bad ngram count

让我认为lm_csr_5k_nvp_2gram.arpa文件格式不正确或者其他内容。该文件如下所示：

\data\
ngram 1=5000
ngram 2=4331397
ngram 3=0

\1-grams:
-2.11154    </s>    0
-99 <s> -3.13167
-0.3954594  <unk>   -0.4365645
-2.271447   a   -2.953606
-3.384721   a.  -1.85196
-5.788997   a.'s    -0.8137056
-4.139672   abandoned   -0.9728376
-3.904189   ability -1.838658
-4.360272   able    -2.161723
...

至少看起来像示例文件here。

我唯一的另一个想法是，可能延伸是错误的，因为this说

语言模型可以以三种不同的格式存储和加载 - 文本ARPA格式，二进制格式BIN和二进制DMP格式。 ARPA格式占用更多空间，但可以编辑它。 ARPA文件的扩展名为.lm。二进制格式占用的空间更少，加载速度更快。二进制文件的扩展名为.lm.bin。也可以在格式之间进行转换。 DMP格式已过时，不推荐使用。

这使得听起来应该将文件命名为lm_csr_5k_nvp_2gram.lm而不是lm_csr_5k_nvp_2gram.arpa。我确实尝试重命名该文件，但没有任何异常更改。

这样做的正确方法是什么？

Answer 1

嗯，这是模型格式的问题，ngram模型中的这一行导致了一个问题：

ngram 3=0

您可以删除有问题的行或更新pocketsphinx-android-demo，我只是推出了修复此问题的新版本。

总的来说，手机上的听写并非微不足道，因为手机真的很慢。我不建议你使用2克，最好使用重度修剪的3克模型。你可以修剪srilm。

您还可以阅读optimization doc以了解要调整的内容。

Answer 2

使用sphinx上的以下命令将您的arpa文件转换为语言模型（lm）。

sphinx_lm_convert -i lm_csr_5k_nvp_2gram.arpa -o lm_csr_5k_nvp_2gram.lm.dmp

在Android程序中使用生成的语言模型。

recognizer.addNgramSearch(DIGITS_SEARCH,new File(assetsDir, "lm_csr_5k_nvp_2gram.lm.dmp"))

用于Android听写应用程序的PocketSphinx

2 个答案: