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Data-entry can be particularly costly when non electronic information - e.g. contained in documents or pictures - has to be interpreted by a domain expert before being stored on the computer - e.g. medical reporting, diagnostics, cataloguing, etc. SPEEDATA explores how to gain efficiency in this task by employing state-of-the-art ASR (Automatic Speech Recognition) technology.
The ideal scenario is to let the computer work like a secretary who types what the expert user dictates, so that s/he does not have to worry about how data is entered and organised in the computer. Furthermore, the user can verify, correct and store the data through a user-friendly interface.
SPEEDATA includes a continuous speech recogniser architecture specifically suited to data entry applications. It features real-time performance, keyword-optional data-entry recognition, and unsupervised speaker adaptation. The architecture is currently available for two operating system platforms: Unix and Windows.
Two versions of the data-entry system are currently being tested in the field by two Italian public authorities. In both the tasks, a significant reduction in labour costs is expected. Efficiency will be gained in error reduction, less personnel required (as a typist is no longer needed) and data throughput. This is especially relevant where the amount of data to be input is vast.
Project URL : http://poseidon.itc.it:7117/~voce/SPEEDATA/HomePage.html
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