我正在尝试使用Android上的PocketSphinx和Keith Vertanen的语言模型之一来实现"听写"功能。 我已将示例修改为如下所示：
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。
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)
线条
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文件格式不正确或其他什么。 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
...
至少看起来像这里的示例文件。
我唯一的另一个想法是，也许扩展是错误的，因为这
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，但可以对其进行编辑。ARPA文件具有.lm扩展名。二进制格式占用的空间明显更少，加载速度更快。二进制文件具有 .lm.bin 扩展名。也可以在格式之间进行转换。DMP 格式已过时，不建议使用。
这听起来像是文件应该命名为 lm_csr_5k_nvp_2gram.lm 而不是 lm_csr_5k_nvp_2gram.arpa . 但是，我确实尝试重命名文件，但异常没有任何变化。
正确的方法是什么？
嗯，这是模型格式的问题，ngram 模型中的这一行会导致一个问题：
ngram 3=0
您可以删除违规行或更新口袋狮身人面像-android-demo，我刚刚推出了一个新版本，并修复了此问题。
总的来说，在手机上听写并非微不足道，因为电话真的很慢。我不建议您使用2克，最好使用经过大量修剪的3克型号。你可以用srilm修剪。
您还可以阅读优化文档以了解其他要调整的内容。
在
狮身人面像上使用以下命令将 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
在您的安卓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"))