A real-time recurrent error propagation network word recognition system

Authors:
Tony Robinson
Affiliations:
Cambridge University Engineering Department, Cambridge, England
Venue:
ICASSP'92 Proceedings of the 1992 IEEE international conference on Acoustics, speech and signal processing - Volume 1
Year:
1992

Citing 5
Cited 0

Automatic Speech Recognition: The Development of the Sphinx Recognition System

Automatic Speech Recognition: The Development of the Sphinx Recognition System
A new paradigm for speaker-independent training

ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
An Alphanet approach to optimising input transformations for continuous speech recognition

ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
Using phoneme duration and energy contour information to improve large vocabulary isolated-word recognition

ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
Continuously variable duration hidden Markov models for automatic speech recognition

Computer Speech and Language

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a hybrid system using a connectionist model and a Markov model for the DARPA Resource Management task of large-vocabulary multiple-speaker continuous speech recognition. The connectionist model employs internal feedback for context modelling and provides phone state occupancy probabilities for a simple context independent Markov model. The system has been implemented in real-time on a workstation supported by a DSP board. The use of context independent phone models leads to the possibility of time-domain pruning and computationally efficient durational modelling, both of which are reported in the paper.