THE GENERAL-PROCEDURE CHART

This part of the manual describes the procedure(s) for training acoustic models using the Sphinx3 trainer. General training procedures are described first, and followed by more detailed descriptions of the programs and scripts used, and the analysis of their logs and other outputs.

BEFORE YOU TRAIN

THE GENERAL-PROCEDURE CHART

                         Training chart for the
                         sphinx2  trainer
                        =========================
                                OBSOLETE
               (The sphinx2 trainer is no longer used in CMU)




                         Training chart for the
                         sphinx3  trainer
                        =========================
                             type of model
                                   |
                    ----------------------------------
                    |                                |
               CONTINUOUS                      SEMI-CONTINUOUS
                    |                                |
                    |                         vector-qunatization
                    |                                |
                    ----------------------------------
                                   |...make ci mdef
                                   |...flat_initialize CI models
                             training CI models
                                   |...make cd untied mdef
                                   |...initialize
                                   |
                             training CD untied models
                                   |
                                   |
                                   |
                             decision tree building
                                   |...prune trees
                                   |...tie states
                                   |...make cd tied mdef
                             training CD tied models
                                   |
                                   |
recursive            ----------------------------------
gaussian splitting.. |                                |
                 continuous models              semi-continuous models
                     |                                |
                     |                                | 
                -----------                           |
                |         |                    deleted interpolation
          decode with   ADAPT                         |
          sphinx3         |                           |---ADAPT
          decoder <-------                            |     |
                                                ----------------
                          make cd tied mdef ... | .............|
                          with decode dict and  |           convert to
                          pruned trees          |           sphinx2
                                         decode with           |
                                         sphinx3               |
                                         decoder               |     
                                                               |
                                                            decode with
                                                            sphinx2
                                                            decoder
                                                  (currently opensource
                                                   and restricted to
                                                   working with sampling
                                                   rates 8khz and 16khz.
                                                   Once the s3 trainer is
                                                   released, this will have
                                                   to change to allow
                                                   people who train with
                                                   different sampling rates
                                                   to use this decoder)

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