ISCA Archive ICSLP 1994
ISCA Archive ICSLP 1994

Radiological reporting by speech recognition: the a.re.s. system

Bianca Angelini, Giuliano Antoniol, Fabio Brugnara, Mauro Cettolo, Marcello Federico, Roberto Fiutem, Gianni Lazzari

Radiological reporting has already been identified as a field in which voice technologies can prove to be very useful. Recent progress in automatic speech recognition and in hardware and software technology makes it possible to build large-vocabulary, continuous speech, speaker-independent, real-time systems. In this paper a dictation system for radiology reporting, the A.Re.S. system, is presented. A.Re.S. is a "software only" system which runs in real-time on an HP 715 workstation. It relies on an asynchronous and multi-process architecture in which speech decoding is performed by processes in pipeline. System requirements and architecture will be described, together with the results of a preliminary evaluation based on three months of on-site testing.


Cite as: Angelini, B., Antoniol, G., Brugnara, F., Cettolo, M., Federico, M., Fiutem, R., Lazzari, G. (1994) Radiological reporting by speech recognition: the a.re.s. system. Proc. 3rd International Conference on Spoken Language Processing (ICSLP 1994), 1267-1270

@inproceedings{angelini94_icslp,
  author={Bianca Angelini and Giuliano Antoniol and Fabio Brugnara and Mauro Cettolo and Marcello Federico and Roberto Fiutem and Gianni Lazzari},
  title={{Radiological reporting by speech recognition: the a.re.s. system}},
  year=1994,
  booktitle={Proc. 3rd International Conference on Spoken Language Processing (ICSLP 1994)},
  pages={1267--1270}
}