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A real-time evaluation system for a real-time connected-speech recognizer

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5 Author(s)
Miller, S. ; Brown University, Providence, RI ; Morgan, D. ; Silverman, H.F. ; Karam, M.
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A facility for evaluating a talker-dependent, connected-speech recognition system is described. It is implemented as an independent system and interacts in parallel with a recognizer in real-time. The evaluator includes software for speech acquisition and storage, connected-speech training, data transfer to a recognizer, database queries, and statistical analysis. Important considerations in the design were the human factors of recording, talker and recording-condition variability, and the embedded training paradigm. Automatic statistical analysis is derived via a simple string-alignment algorithm using just the orthography. In order to demonstrate the use of this system, two experiments are described for connected-digit recognition. These results are presented as automatlcally-generated confusion matrices for insertion, substitution and deletion error and individual string alignments.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '87.  (Volume:12 )

Date of Conference:

Apr 1987