Experiments with the Tangora 20,000 word speech recognizer

24 March 2005

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

Vol. 12, 701-704
https://doi.org/10.1109/icassp.1987.1169870

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.

Keywords

This publication has 9 references indexed in Scilit:

Speech recognition of a natural text read as isolated words
Published by Institute of Electrical and Electronics Engineers (IEEE) ,2005
An IBM PC based large-vocabulary isolated-utterance speech recognizer
Published by Institute of Electrical and Electronics Engineers (IEEE) ,2005
Estimation of probabilities from sparse data for the language model component of a speech recognizer
IEEE Transactions on Acoustics, Speech, and Signal Processing, 1987
Application of an adaptive auditory model to speech recognition
The Journal of the Acoustical Society of America, 1985
Personal Instrument (PI)—A PC-based signal processing system
IBM Journal of Research and Development, 1985
The development of an experimental discrete dictation recognizer
Proceedings of the IEEE, 1985
A Maximum Likelihood Approach to Continuous Speech Recognition
Published by Institute of Electrical and Electronics Engineers (IEEE) ,1983
Continuous speech recognition by statistical methods
Proceedings of the IEEE, 1976
Design of a linguistic statistical decoder for the recognition of continuous speech
IEEE Transactions on Information Theory, 1975