Experiments with the Tangora 20,000 word speech recognizer

200588 citationsJournal Article

Authors

Amir Averbuch · IBM Research - Thomas J. Watson Research Center

L.R. Bahl · IBM Research - Thomas J. Watson Research Center

R. Bakis · IBM Research - Thomas J. Watson Research Center

Peter Brown · IBM Research - Thomas J. Watson Research Center

G. Daggett · IBM (United States)

Subrata Das · IBM (United States)

K. Davies

Abstract

The Speech Recognition Group at IBM Research in Yorktown Heights has developed a real-time, isolated-utterance speech recognizer for natural language based on the IBM Personal Computer AT and IBM Signal Processors. The system has recently been enhanced by expanding the vocabulary from 5,000 words to 20,000 words and by the addition of a speech workstation to support usability studies on document creation by voice. The system supports spelling and interactive personalization to augment the vocabularies. This paper describes the implementation, user interface, and comparative performance of the recognizer.

Topics & Keywords

Natural Language Processing Techniques Speech and dialogue systems Speech Recognition and Synthesis

UN Sustainable Development Goals

Quality Education

Publication Details

Volume 12, pp. 701-704

DOI: 10.1109/icassp.1987.1169870

Field-Weighted Citation Impact: 0.44