iss-aurora4's Introduction

Aurora 4 scripts

The basic sequence is this:

You need an iss-wsj working version! All the language models and the like are the same. Ideally it should be ../iss-wsj
Then, run this sequence of scripts to set up the infrastructure:

CreateLinks.sh   # Creates links to the database and to iss-wsj
CreateLists.sh   # Creates the file lists in ./local

Now models can be trained. Replace my-dir with whatever you like.

ExtractTrain.sh my-dir  # Extract features for training
TrainGMM.sh my-dir      # Train Gaussian mixture HMMs using HTS

Test the models. Check the scripts to determine which tests (i.e., modify acousticModel in TestGMM.sh to reflect whatever you chose as my-dir).

ExtractTest.sh my-dir   # Extract all 14 test types
TestGMM.sh my-dir       # Run all 14 tests
Score.sh my-dir         # Score all 14 tests

ISS was originally written for aurora4! This is the paper that eventually resulted:

@Article{Garner2011,
  author =       "Garner, Philip N.",
  title =        "Cepstral normalisation and the signal to noise ratio
                  spectrum in automatic speech recognition",
  journal =      "Speech Communication",
  year =         2011,
  volume =       53,
  number =       8,
  month =        "October",
  pages =        "991--1001",
  pdf = "http://publications.idiap.ch/downloads/papers/2011/Garner_SPECOM_2011.pdf"
}

The paper is here.

Phil Garner, April 2012 ...but based on work from a couple of years earlier.

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