Examples of com.sun.speech.freetts.clunits.ClusterUnitSelector$Viterbi

com.sun.speech.freetts.clunits.ClusterUnitSelector
Provides support for the Viterbi Algorithm. Implementation Notes
For each candidate for the current unit, calculate the cost between it and the first candidate in the next unit. Save only the path that has the least cost. By default, if two candidates come from units that are adjacent in the database, the cost is 0 (i.e., they were spoken together, so they are a perfect match).
Repeat the previous process for each candidate in the next unit, creating a list of least cost paths between the candidates between the current unit and the unit following it.
Toss out all candidates in the current unit that are not included in a path.
Move to the next unit and repeat the process.

    this.database = database;
    this.unitNamer = unitNamer;
    this.phonesetURL = phonesetURL;
    this.partOfSpeechURL = partOfSpeechURL;
        try {
            unitSelector = new ClusterUnitSelector(getDatabase(), unitNamer);
        } catch (IOException ioe) {
            ioe.printStackTrace();
        }
  }

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     * 
     * @throws IOException if an IO error occurs while getting
     *     processor
     */
    public UtteranceProcessor getUnitSelector() throws IOException {
  return new ClusterUnitSelector(getDatabase());
    }

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                seg.getFeatures().setString("clunit_name", cname);
            }
            
        };
        return new ClusterUnitSelector(getDatabase(), unitNamer);
    }

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