The ARM continuous speech recognition system
- 4 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 69-72 vol.1
- https://doi.org/10.1109/icassp.1990.115539
Abstract
Research on continuous-speech recognition using phoneme-level hidden Markov models (HMMs) is described. The aim of the project is automatic recognition of spoken airborne reconnaissance mission (ARM) reports. The evolution of the ARM system from a simple baseline system to its current configuration is described, and a considerable number of experimental results are included. Work on alternative approaches to modeling contextual effects and on improved duration modeling is described.<>Keywords
This publication has 5 references indexed in Scilit:
- A speaker-stress resistant HMM isolated word recognizerPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Context-dependent modeling for acoustic-phonetic recognition of continuous speechPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- On modeling duration in context in speech recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Speaker stress-resistant continuous speech recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Proceedings of the 3rd international conference on Supercomputing - ICS '89Published by Association for Computing Machinery (ACM) ,1989