public static void speakerAdaptiveDecoding(ArrayList speakers, URL url)
{
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/en-us.lm.bin");
StreamSpeechRecognizer streamSpeechRecognizer = new StreamSpeechRecognizer(configuration);
Iterator iterator = speakers.iterator();
while (iterator.hasNext())
{
SpeakerCluster speakerCluster = (SpeakerCluster)iterator.next();
Stats stats = streamSpeechRecognizer.createStats(1);
ArrayList speakerIntervals = speakerCluster.getSpeakerIntervals();
Iterator iterator2 = speakerIntervals.iterator();
while (iterator2.hasNext())
{
Segment segment = (Segment)iterator2.next();
long start = (long)segment.getStartTime();
long end = (long)(segment.getStartTime() + segment.getLength());
TimeFrame timeFrame = new TimeFrame(start, end);
streamSpeechRecognizer.startRecognition(url.openStream(), timeFrame);
SpeechResult result;
while ((result = streamSpeechRecognizer.getResult()) != null)
{
stats.collect(result);
}
streamSpeechRecognizer.stopRecognition();
}
Transform transform = stats.createTransform();
streamSpeechRecognizer.setTransform(transform);
Iterator iterator3 = speakerIntervals.iterator();
while (iterator3.hasNext())
{
Segment segment2 = (Segment)iterator3.next();
long start2 = (long)segment2.getStartTime();
long end2 = (long)(segment2.getStartTime() + segment2.getLength());
TimeFrame timeFrame = new TimeFrame(start2, end2);
streamSpeechRecognizer.startRecognition(url.openStream(), timeFrame);
SpeechResult result;
while ((result = streamSpeechRecognizer.getResult()) != null)
{
[email protected]("Hypothesis: %s\n", new object[]
{
result.getHypothesis()
});
}
streamSpeechRecognizer.stopRecognition();
}
}
}
public static void main(string[] args)
{
[email protected]("Loading models...");
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/en-us.lm.bin");
StreamSpeechRecognizer streamSpeechRecognizer = new StreamSpeechRecognizer(configuration);
InputStream resourceAsStream = ClassLiteral <TranscriberDemo> .Value.getResourceAsStream("/edu/cmu/sphinx/demo/aligner/10001-90210-01803.wav");
resourceAsStream.skip((long)((ulong)44));
streamSpeechRecognizer.startRecognition(resourceAsStream);
SpeechResult result;
while ((result = streamSpeechRecognizer.getResult()) != null)
{
[email protected]("Hypothesis: %s\n", new object[]
{
result.getHypothesis()
});
[email protected]("List of recognized words and their times:");
Iterator iterator = result.getWords().iterator();
while (iterator.hasNext())
{
WordResult wordResult = (WordResult)iterator.next();
[email protected](wordResult);
}
[email protected]("Best 3 hypothesis:");
iterator = result.getNbest(3).iterator();
while (iterator.hasNext())
{
string text = (string)iterator.next();
[email protected](text);
}
}
streamSpeechRecognizer.stopRecognition();
resourceAsStream = ClassLiteral <TranscriberDemo> .Value.getResourceAsStream("/edu/cmu/sphinx/demo/aligner/10001-90210-01803.wav");
resourceAsStream.skip((long)((ulong)44));
Stats stats = streamSpeechRecognizer.createStats(1);
streamSpeechRecognizer.startRecognition(resourceAsStream);
while ((result = streamSpeechRecognizer.getResult()) != null)
{
stats.collect(result);
}
streamSpeechRecognizer.stopRecognition();
Transform transform = stats.createTransform();
streamSpeechRecognizer.setTransform(transform);
resourceAsStream = ClassLiteral <TranscriberDemo> .Value.getResourceAsStream("/edu/cmu/sphinx/demo/aligner/10001-90210-01803.wav");
resourceAsStream.skip((long)((ulong)44));
streamSpeechRecognizer.startRecognition(resourceAsStream);
while ((result = streamSpeechRecognizer.getResult()) != null)
{
[email protected]("Hypothesis: %s\n", new object[]
{
result.getHypothesis()
});
}
streamSpeechRecognizer.stopRecognition();
}