================================================================
08/15/99 to 08/14/00:

 - Workshops:

   We have developed extensive on-line documentation for the
   two workshops we host. All presentation materials are
   available from the web. Related coursework (such as an
   updated set of notes for a speech recognition course) is
   also available from the web.
   
 - Tutorials:

   Now that our software base has been stabilizing, we have
   begun developing extensive turnkey scripts that run canned
   experiments on important applications (such as conversational
   speech recognition). These scripts are extremely important
   in that they show users how to implement subtle details
   of the technology.

================================================================
08/15/98 to 08/14/99:

 - Java Applets

   We have upgraded our existing set of Java signal
   processing applets to a new interface available in Java
   called SWING. This is the latest attempt by Java
   developers to provide a standard high-level interface to
   applications programmers. The previous interface we used
   is being obsoleted. Hence, it was necessary to make this
   step.

   We also introduced two new applets. The first applet
   teaches users about digital filter design. This applet
   also served as our initial testbed for SWING. The second
   applet demonstrates pattern classification. Users can
   create data sets, and classify them using a host of
   classifiers. This is still under development.

 - Remote Job Submission Facility

   One development we are most proud of, and somewhat ahead
   of schedule on, is an applet that allows users to submit
   speech recognition experiments over the Internet. This
   applet is central to our vision of Internet-based
   educational resources. Users can choose an experiment,
   configure various parameters related to the experiment,
   and submit the job.  The job is distributed to our bank of
   servers, and results are returned via the web and/or
   email. Users can supply their own audio data to the
   recognizer.

   This applet is still in the preliminary stages of
   development, but appears to be quite promising. A major
   application of this applet will be to allow users to run
   the system in debug mode and obtain results which they can
   use to benchmark their own algorithms.