1.  TIMIT sample downloaded from

http://nltk.googlecode.com/svn/trunk/nltk_data/index.xml

http://nltk.googlecode.com/svn/trunk/nltk_data/packages/corpora/timit.zip
2. Each of the 16 speaker's files are processed as follows.  First, each .WAV file is amplitude normalized.  Second, the first 8 .WAV files are concatenated to form a single file stored in train and the last 2 .WAV files are concatenated to form a single file stored in test.

3. The resulting 16 .WAV files in train and 16 .WAV files in test are named according to the directory for each speaker.
