java - Pythontranscriber.py の実行中にエラーが発生しました

Question

pythontranscriber.py を実行しようとすると、次のエラーで失敗します。

Traceback (most recent call last):
  File "PythonTranscriber.py", line 14, in <module>
  from edu.cmu.sphinx.decoder import Decoder
  ImportError: No module named edu

私のスクリプト PythonTranscriber.py:

import sys

libDir = "/home/karen/sphinx4-1.0beta5-scr/sphinx4-1.0beta5/src/sphinx4/" 
classPaths = [
    "sphinx4.jar",
    "jsapi.jar" ] 
for classPath in classPaths:
    sys.path.append(libDir + classPath)

true = 1 
false = 0

from edu.cmu.sphinx.decoder import Decoder 
from edu.cmu.sphinx.decoder import ResultListener 
from edu.cmu.sphinx.decoder.pruner import SimplePruner 
from edu.cmu.sphinx.decoder.scorer import ThreadedAcousticScorer 
from edu.cmu.sphinx.decoder.search import PartitionActiveListFactory 
from edu.cmu.sphinx.decoder.search import SimpleBreadthFirstSearchManager 
from edu.cmu.sphinx.frontend import DataBlocker 
from edu.cmu.sphinx.frontend import FrontEnd 
from edu.cmu.sphinx.frontend.endpoint import NonSpeechDataFilter 
from edu.cmu.sphinx.frontend.endpoint import SpeechClassifier 
from edu.cmu.sphinx.frontend.endpoint import SpeechMarker 
from edu.cmu.sphinx.frontend.feature import DeltasFeatureExtractor 
from edu.cmu.sphinx.frontend.feature import LiveCMN 
from edu.cmu.sphinx.frontend.filter import Preemphasizer 
from edu.cmu.sphinx.frontend.frequencywarp import MelFrequencyFilterBank 
from edu.cmu.sphinx.frontend.transform import DiscreteCosineTransform 
from edu.cmu.sphinx.frontend.transform import DiscreteFourierTransform 
from edu.cmu.sphinx.frontend.util import AudioFileDataSource 
from edu.cmu.sphinx.frontend.window import RaisedCosineWindower 
from edu.cmu.sphinx.instrumentation import BestPathAccuracyTracker 
from edu.cmu.sphinx.instrumentation import MemoryTracker 
from edu.cmu.sphinx.instrumentation import SpeedTracker 
from edu.cmu.sphinx.jsapi import JSGFGrammar 
from edu.cmu.sphinx.linguist.acoustic import UnitManager 
from edu.cmu.sphinx.linguist.acoustic.tiedstate import Sphinx3Loader 
from edu.cmu.sphinx.linguist.acoustic.tiedstate import TiedStateAcousticModel 
from edu.cmu.sphinx.linguist.dictionary import FastDictionary 
from edu.cmu.sphinx.linguist.flat import FlatLinguist 
from edu.cmu.sphinx.recognizer import Recognizer 
from edu.cmu.sphinx.util import LogMath 
from java.util.logging import Logger 
from java.util.logging import Level 
from java.net import URL 
from java.util import ArrayList

# if (args.length < 1) {
#  throw new Error("USAGE: GroovyTranscriber <sphinx4 root> [<WAV file>]")
# }

root = "../../.."

# init common  
Logger.getLogger("").setLevel(Level.WARNING) 
logMath = LogMath(1.0001, true) 
absoluteBeamWidth = -1 
relativeBeamWidth = 1E-80 
wordInsertionProbability = 1E-36 
languageWeight = 8.0

# init audio data 
audioSource = AudioFileDataSource(3200, None) 
audioURL =  URL("file:" + root + "/src/apps/edu/cmu/sphinx/demo/transcriber/10001-90210-01803.wav")

# (args.length > 1) ?
#  File(args[0]).toURI().toURL() :   audioSource.setAudioFile(audioURL, None)

# init front end 
dataBlocker = DataBlocker(
        10 # blockSizeMs ) speechClassifier = SpeechClassifier(
        10,     # frameLengthMs,
        0.003, # adjustment,
        10,     # threshold,
        0       # minSignal 
)

speechMarker = SpeechMarker(
        200, # startSpeechTime,
        500, # endSilenceTime,
        100, # speechLeader,
        50,  # speechLeaderFrames
        100  # speechTrailer 
)

nonSpeechDataFilter = NonSpeechDataFilter()

premphasizer = Preemphasizer(
        0.97 # preemphasisFactor 
) 
windower = RaisedCosineWindower(
        0.46, # double alpha
        25.625, # windowSizeInMs
        10.0 # windowShiftInMs 
) 
fft = DiscreteFourierTransform(
        -1, # numberFftPoints
        false # invert 
) 
melFilterBank = MelFrequencyFilterBank(
        130.0, # minFreq,
        6800.0, # maxFreq,
        40 # numberFilters 
) 
dct = DiscreteCosineTransform(
        40, # numberMelFilters,
        13  # cepstrumSize 
) 
cmn = LiveCMN(
        12.0, # initialMean,
        100,  # cmnWindow,
        160   # cmnShiftWindow 
) 
featureExtraction = DeltasFeatureExtractor(
        3 # window 
)

pipeline = [
        audioSource,
        dataBlocker,
        speechClassifier,
        speechMarker,
        nonSpeechDataFilter,
        premphasizer,
        windower,
        fft,
        melFilterBank,
        dct,
        cmn,
        featureExtraction ]

frontend = FrontEnd(pipeline)

# init models 
unitManager = UnitManager()

modelLoader = Sphinx3Loader(
        "file:" + root + "/models/acoustic/tidigits/model.props",
        logMath,
        unitManager,
        true,
        true,
        39,
        "file:" + root + "/models/acoustic/tidigits/wd_dependent_phone.500.mdef",
        "file:" + root + "/models/acoustic/tidigits/wd_dependent_phone.cd_continuous_8gau/",
        0.0,
        1e-7,
        0.0001,
        true)

model = TiedStateAcousticModel(modelLoader, unitManager, true)

dictionary = FastDictionary(
        URL("file:" + root + "/models/acoustic/tidigits/dictionary"),
        URL("file:" + root + "/models/acoustic/tidigits/fillerdict"),
        ArrayList(),
        false,
        "<sil>",
        false,
        false,
        unitManager)

# init linguist 
grammar = JSGFGrammar(
        # URL baseURL,
        URL("file:" + root + "/src/apps/edu/cmu/sphinx/demo/transcriber/"),
        logMath, # LogMath logMath,
        "digits", # String grammarName,
        false, # boolean showGrammar,
        false, # boolean optimizeGrammar,
        false, # boolean addSilenceWords,
        false, # boolean addFillerWords,
        dictionary # Dictionary dictionary 
)

linguist = FlatLinguist(
        model, # AcousticModel acousticModel,
        logMath, # LogMath logMath,
        grammar, # Grammar grammar,
        unitManager, # UnitManager unitManager,
        wordInsertionProbability, # double wordInsertionProbability,
        1.0, # double silenceInsertionProbability,
        1.0, # double fillerInsertionProbability,
        1.0, # double unitInsertionProbability,
        languageWeight, # float languageWeight,
        false, # boolean dumpGStates,
        false, # boolean showCompilationProgress,
        false, # boolean spreadWordProbabilitiesAcrossPronunciations,
        false, # boolean addOutOfGrammarBranch,
        1.0, # double outOfGrammarBranchProbability,
        1.0, # double phoneInsertionProbability,
        None # AcousticModel phoneLoopAcousticModel 
)

# init recognizer 
scorer = ThreadedAcousticScorer(frontend, None, 10, true, 0)

pruner = SimplePruner()

activeListFactory = PartitionActiveListFactory(absoluteBeamWidth, relativeBeamWidth, logMath)

searchManager = SimpleBreadthFirstSearchManager(
        logMath, linguist, pruner,
        scorer, activeListFactory,
        false, 0.0, 0, false)

decoder = Decoder(searchManager,
        false, false,
        ArrayList(),
        100000)

recognizer = Recognizer(decoder, None)

# allocate the resourcs necessary for the recognizer recognizer.allocate()

# Loop unitl last utterance in the audio file has been decoded, in which case the recognizer will return None. 
result = recognizer.recognize() 
while (result != None):
    resultText = result.getBestResultNoFiller()
    print resultText
    result = recognizer.recognize()

Jython は既にインストールされています。

私を助けてください！

score 1 · Accepted Answer

Javaコードをロードするには、クラスパスにjarを追加してみてください。

その方法に慣れていない場合は、次のいずれかを使用してください。

 export CLASSPATH=$CLASSPATH:/path/to/sphinx4.jar:/path/jsapi.jar

または、コマンドラインスクリプトに追加します。

java -cp /path/to/jars -jar /home/karen/jython-installer-2.5.3/jython.jar PythonTranscriber.py

編集：

そこで、ここの手順に従ってSphinx-4をダウンロードしてインストールしました。jarファイルへのパスは、スクリプトでのパスとは異なります。彼らはsphinx4/libディレクトリの下にいました。パスの正確さを再確認することをお勧めします。

私はあなたのスクリプトを以下のように実行しました（変更されましたが、大きな変更はありません）：

import sys,os
lib_dir = '/home/.../jars/sphinx4/lib/'
classpaths = [ 'sphinx4.jar', 'jsapi.jar' ]
for cp in classpaths:
    sys.path.append(os.path.join(lib_dir,cp))

from edu.cmu.sphinx.decoder import Decoder
from ... import ...
etc.
from java.util import ArrayList

コマンドで：

jython python_transcriber.py

インポートエラーがもう1つあることを除いて、これはほぼ機能しました。
```
from edu.cmu.sphinx.jsapi import JSGFGrammar
```
javadocによると、次のようになります。
```
from edu.cmu.sphinx.jsgf import JSGFGrammar
```

それは私のためにそれの世話をしました。残りのコードは試しませんでしたが、少なくともすべてのインポートは機能します。

java - Pythontranscriber.py の実行中にエラーが発生しました

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