Putting it all together

Now we have all the components, it will be useful to see them all working together.
  • The generative view

    Yes, again! Really, this is the best way to see how everything integrates elegantly, just by multiplying probabilities.

  • Compiling the recognition network

    The idea of compiling al the models together is very natural, if we are taking the generative view.

  • Training

    The Baum-Welch algorithm can be applied to data comprising whole utterances transcribed with words, without needing any manual within-utterance alignment.

  • Pruning

    By removing unlikely partial paths (tokens), we can make recognition much faster.