This paper addresses the problem of automatic recognition of two simultaneous speech signals, that is the recognition of speech in the presence of speech from interfering talkers. The approach used is that of hidden Markov model based signal decomposition in which two or more concurrent signals are recognised simultaneously. In order to accommodate concurrent dynamically varying processes the decomposition technique uses conventional hidden Markov modelling of speech, but a generalisation of the conventional recognition algorithm. The performance of a decomposition based recogniser is compared with that of a conventional recogniser; the results demonstrate the ability of the new technique to decompose and recognise interfering signals as structurally complex as speech. Keywords: Speech recognition, hidden Markov model based decomposition, recognition of simultaneous speech signals.
Cite as: Varga, A.P., Moore, R.K. (1991) Simultaneous recognition of concurrent speech signals using hidden Markov model decomposition. Proc. 2nd European Conference on Speech Communication and Technology (Eurospeech 1991), 1175-1178, doi: 10.21437/Eurospeech.1991-168
@inproceedings{varga91_eurospeech,
author={A. P. Varga and Roger K. Moore},
title={{Simultaneous recognition of concurrent speech signals using hidden Markov model decomposition}},
year=1991,
booktitle={Proc. 2nd European Conference on Speech Communication and Technology (Eurospeech 1991)},
pages={1175--1178},
doi={10.21437/Eurospeech.1991-168}
}