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Project Name: Speech Processing, Recognition and Automatic Annotation Kit
Abbreviation: SPRAAK Start date:
not specified yet End date:
not specified yet Project Description:
The availability of a speech recognition system for Dutch is
mentioned as one of the essential requirements for the language
and speech technology (LST) community. Indeed, researchers now
are faced with the problem that no good speech recognition tool
is available for their purposes or existing tools lack
functionality or flexibility.
This project has two primary goals that will be accomplished
within a single software framework. The first goal is to develop
a highly modular toolkit for research into speech recognition
algorithms. It allows researchers to focus on one particular
aspect of speech recognition technology without needing to worry
about the details of the other components.
The second goal is to provide a state-of-the art recogniser for
Dutch with a simple interface, so that it can be used by
non-specialists with a minimum of programming requirements. Next
to speech recognition, the resulting software will enable
applications in related fields as well. Examples are linguistic
and phonetic research where the software can be used to segment
large speech databases or to provide high quality automatic
transcriptions. We choose the existing ESAT recogniser,
augmented with knowledge and code from the other partners in
this project, as a starting point. This code base will be
transformed to meet the specified requirements. The
transformation is accomplished by improving the software
interfaces to make the software package more user friendly and
adapted for usage in a large user community, and by providing
adequate user and developer documentation written in English,
so as to make it easily accessible to the international LST
community as well. Next to providing a reference speech
recognition platform for the Dutch speaking community,
this project also encompasses knowledge transfer between the
different partners, hence strengthening the ties between the
Netherlands and Flanders, and between research institutions and
application developers.
- Prof. P. Wambacq (Katholieke Universiteit Leuven - ESAT/PSI)
- Prof. L.W.J. Boves (Radboud Universiteit Nijmegen - Language and
Speech RU)
- Dr. Ir. D.A. van Leeuwen (TNO Human Factors (Soesterberg) TNO)
- Dr. R. Ordelman (Universiteit Twente - Human Media Interaction UT)
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The following HMI-member(s) is/are coordinator of this Project
Roeland Ordelman
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