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Research Opportunity in Audio Classification

Dear Auditory list members,

We are seeking candidates for a research assistant / intern / postdoc position in audio analysis and
classification at MERL in Cambridge Massachusetts. Knowledge and experience in one or more of the
following areas will be considered a plus:

 Auditory scene analysis / segmentation.
 Automatic structure discovery.
 Classification of auditory objects and scenes, such as environmental sound, speech and music.
 Semantic labeling of auditory objects.

The following skills are highly desirable:

 Matlab, C/C++
 Audio analysis using STFT, cepstrum, correlogram.
 Pattern recognition using NNs, HMMs or Bayesean techniques (e.g. Maximum Likelihood).
 Experience with audio files and formats, file conversion, sample rate conversion,
 Experience with sound in one or more of: speech, natural sound, music.
 Good written communication skills.
 Ability to work independently on difficult problems.

The successful candidate will likely have a higher degree in a relevant computational discipline and
some experience in a research setting. This opportunity will be a full time appointment for an
initial period of six months with the possibility of further extension beyond that time.

Student interns and postdocs from outside the US may be eligible for a temporary work visa.

Please contact Michael Casey for further information.

Michael A. Casey    | M E R L  http://www.merl.com/people/casey
Research Scientist  | A Mitsubishi Electric Research Laboratory
617-621-7535fax7550 | 201 Broadway 8th floor Cambridge MA 02139