Examples of edu.cmu.sphinx.api.StreamSpeechRecognizer

        // configuration.setAcousticModelPath("file:en-us");
        
        configuration.setDictionaryPath("resource:/edu/cmu/sphinx/models/acoustic/wsj/dict/cmudict.0.6d");
        configuration.setLanguageModelPath("resource:/edu/cmu/sphinx/models/language/en-us.lm.dmp");


        StreamSpeechRecognizer recognizer = 
            new StreamSpeechRecognizer(configuration);
        InputStream stream = TranscriberDemo.class.getResourceAsStream(
                "/edu/cmu/sphinx/demo/aligner/10001-90210-01803.wav");
        
        // Simple recognition with generic model
        recognizer.startRecognition(stream);
        SpeechResult result;
        while ((result = recognizer.getResult()) != null) {
        
            System.out.format("Hypothesis: %s\n",
                              result.getHypothesis());
                              
            System.out.println("List of recognized words and their times:");
            for (WordResult r : result.getWords()) {
          System.out.println(r);
            }


            System.out.println("Best 3 hypothesis:");            
            for (String s : result.getNbest(3))
                System.out.println(s);


            System.out.println("Lattice contains " + result.getLattice().getNodes().size() + " nodes");
        }
        recognizer.stopRecognition();
    
        
        // Live adaptation to speaker with speaker profiles
 
        stream = TranscriberDemo.class.getResourceAsStream(
                "/edu/cmu/sphinx/demo/aligner/10001-90210-01803.wav");
        
        // Stats class is used to collect speaker-specific data
        Stats stats = recognizer.createStats(1);
        recognizer.startRecognition(stream);
        while ((result = recognizer.getResult()) != null) {
            stats.collect(result);
        }
        recognizer.stopRecognition();
        
        // Transform represents the speech profile
        Transform transform = stats.createTransform();
        recognizer.setTransform(transform);
        
        // Decode again with updated transform
        stream = TranscriberDemo.class.getResourceAsStream(
                "/edu/cmu/sphinx/demo/aligner/10001-90210-01803.wav");
        recognizer.startRecognition(stream);
        while ((result = recognizer.getResult()) != null) {
            System.out.format("Hypothesis: %s\n",
                    result.getHypothesis());
        }
        recognizer.stopRecognition();
        
    }

        configuration
                .setDictionaryPath("resource:/edu/cmu/sphinx/models/acoustic/wsj/dict/cmudict.0.6d");
        configuration
                .setLanguageModelPath("resource:/edu/cmu/sphinx/models/language/en-us.lm.dmp");


        StreamSpeechRecognizer recognizer = new StreamSpeechRecognizer(
                configuration);


        TimeFrame t;
        SpeechResult result;


        for (SpeakerCluster spk : speakers) {
            Stats stats = recognizer.createStats(1);
            ArrayList<Segment> segments = spk.getSpeakerIntervals();


            for (Segment s : segments) {
                long startTime = s.getStartTime();
                long endTime = s.getStartTime() + s.getLength();
                t = new TimeFrame(startTime, endTime);


                recognizer.startRecognition(url.openStream(), t);
                while ((result = recognizer.getResult()) != null) {
                    stats.collect(result);
                }
                recognizer.stopRecognition();
            }


            Transform profile;
            // Create the Transformation
            profile = stats.createTransform();
            recognizer.setTransform(profile);


            for (Segment seg : segments) {
                long startTime = seg.getStartTime();
                long endTime = seg.getStartTime() + seg.getLength();
                t = new TimeFrame(startTime, endTime);


                // Decode again with updated SpeakerProfile
                recognizer.startRecognition(url.openStream(), t);
                while ((result = recognizer.getResult()) != null) {
                    System.out.format("Hypothesis: %s\n",
                            result.getHypothesis());
                }
                recognizer.stopRecognition();
            }
        }
    }

Examples of edu.cmu.sphinx.api.StreamSpeechRecognizer

Related Classes of edu.cmu.sphinx.api.StreamSpeechRecognizer