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  WANTED: PhD Graduate Students for Speech and Signal Processing Research


We are looking for prospective candidates for PhD degrees in Electrical
Engineering or Computer and Systems Engineering involving research in signal
processing for speech and other applications.  Candidates should have the
necessary educational background and meet all of the Rensselaer graduate 
school admission requirements.  In addition to Rensselaer financial aid
offers, most of our current research projects include tuition and stipend  
for Research Assistantship positions.

In addition to the technical requirements mentioned above, candidates should
have a strong work ethic and an ability to function in an independent and
lightly supervised fashion.  Candidates should have a strong interest in
our fields of study and be self-motivated to pursue projects even when 
success is uncertain.  Experience in the field of signal processing, either
academic or industrial, is also helpful.  Candidates will be expected to work
with other graduate students, often in a supervisory fashion, and therefore
must be capable of working effectively within a group. 

ABOUT THE RENSSELAER SPEECH AND SIGNAL PROCESSING LAB

  The Rensselaer Speech and Signal Processing group consists of approximately
  eight PhD students and six Master's students.  The lab is well equipped and
  has full access to all of the resources of Rensselaer.  The equipment owned
  and used exclusively by our lab includes:

   . 5 Sun Computers and 2 IBM PC Compatibles
   . Arial Sun Based 32C DSP Board with ProPort D/A and A/D Sampling System
   . Complete TM32030 development system and related tools
   . 650 MB Rewritable magneto-optical Drive for data storage 
   . Sun CD-ROM system 

  The Rensselaer Speech and Signal Processing labs have a number of ongoing
  research projects and are actively pursuing new fields of research.  Some
  of the projects we are currently working on:

   . Speaker Independent Speech Recognition using Hidden Semi-Markov Models

   . Text-independent Speaker Verification

   . Co-channel Interfering Speech Separation

   . Automatic Language Recognition

   . Speaker to Speaker Voice Character Transformation

   . Pipeline Leak Monitoring

   . Acoustic Source Tracking 

   . Biomedical Signal Processing for Arterial Blockage Detection

   . Design of TMS320C30 DSP based systems for some of the above

   . Design of a multiprocessing TMS320C30 pipelined system

  The following references are some of our recent publications:
  
    IEEE ICASSP '90, p. 281, "Variable Parameter Speaker Verification
       System based on Hidden Markov Modeling"

    IEEE ICASSP '92, p. I-565, "Use of Semi-Markov Models for Speaker-
       Independent Phoneme Recognition"

    IEEE ICASSP '92, p. II-165, "Phoneme Based Speaker Verification"


ABOUT RENSSELAER POLYTECHNIC INSTITUTE

  Rensselaer Polytechnic Institute, founded in 1824, is the nation's oldest
  technological university.  Fully accredited by the Middle States Association
  of Colleges and Secondary Schools and the Accreditation Board for Engineering
  and Technology, this private, co-educational, nonsectarian university
  emphasizes, engineering, science and related fields.

  Graduate students entering last year had an average score within the top 12
  percent on the Graduate Record Examination quantitative test.  Graduate 
  students currently make up more than one forth the student population-
  2200 out of 6600-and over the next two decades graduate enrollment is
  expected to rise to more than 40 percent of the total.

  The campus is located on the Hudson River in New York's Capital District
  about 15 minutes away from Albany, NY.  The campus facilities include a
  large scale IBM 3090 housed in the Voorhees Computing Center.  In addition,
  some 350 IBM and Sun workstations are available throughout the campus.  The
  Folsom Library houses an extensive collection of technical reports and
  one-half million volumes of books.  The Jonsson Engineering Center and the
  newly constructed George M. Low Center for Industrial Innovation provide
  extensive laboratory space to support Rensselaer's $24 million per year
  research programs.

ABOUT RENSSELAER GRADUATE ADMISSIONS

  Contact:

    Office of Graduate Admissions/Financial Aid:  (518) 276-6789  

FOR MORE INFORMATION

  Contact:

          Dr. M. Savic, Professor
          Rensselaer Polytechnic Institute
          7001 Jonsson Engineering Center
          Troy, NY 12180

          (518) 276-6388

          savic@spl.ecse.rpi.edu