Project Description
"The Babel Program will develop agile and robust speech recognition
technology that can be rapidly applied to any human language in order
to provide effective search capability for analysts to efficiently
process massive amounts of real-world recorded speech. Today's
transcription systems are built on technology that was originally
developed for English, with markedly lower performance on non-English
languages. These systems have often taken years to develop and cover
only a small subset of the languages of the world. Babel intends to
demonstrate the ability to generate a speech transcription system for
any new language within one week to support keyword search performance
for effective triage of massive amounts of speech recorded in
challenging real-world situations."
To achieve these aims, the CUED Speech Group within the Lorelei team will examine and develop:
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state-of-the-art speech recognition systems and integration with keyword spotting;
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multi-lingual and language-independent speech recognition systems;
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model-based approaches to noise and channel distortions.
Personnel Associated with the Project
[UROP Student]
Peter Zahemszky [UROP Student]
![[Univ of Cambridge]](http://www.eng.cam.ac.uk/images/house_style/uniban-s.gif){kind=small}
![[Dept of Engineering]](http://www.eng.cam.ac.uk/images/house_style/engban-s.gif)
Consortium Partners