Keywords: Continuous speech recognition, Markov models, neural networks, telephone services Project description
Project description
The main objective of the project is to co-ordinate research efforts in the area of
multilingual continuous speech recognition for future public network services. This
will be accomplished by establishing a unified language-independent speech
recognition concept, and by investigating specific topics within this framework. This
way it will be possible to validate the partners efforts in signal processing, statistical
pattern recognition and linguistic processing in a unified way. One task will be to
identify recognition subtasks, describe their internal communications, define control
mechanisms for invoking them, and establish a methodology for evaluating their
performance. Doing this it should be easy to exchange software modules, speech data
and results. Another task is to propose a methodology for assessing the complexity of
recognition tasks. This includes the development of tools for automatically assessing
the variability in acoustic conditions, the size and confusability of vocabularies, the
morphological structure of words, the perplexity of tasks, and the grammatical
structure and semantic ambiguity of utterances. The tools will allow the research
community to make fair comparisons of algorithms tested on different speech corpora
in different languages. There will also be smaller tasks related to the investigation of
specific topics covering focused aspects of the speech recognition problem.
Source of funding
Source of funding: EU