Howard, IS;
Huckvale, MA;
(2002)
Two-level recognition of isolated word using neural nets.
In:
1989 First IEE International Conference on Artificial Neural Networks, (Conf. Publ. No. 313).
(pp. pp. 90-94).
IET: London, UK,.
Preview |
Text
Huckvale_Huckvale_HowHuc89.pdf - Accepted Version Download (267kB) | Preview |
Abstract
Describes a neural-net based isolated word recogniser that has a better performance on a standard multi-speaker database than the reference hidden Markov model recogniser. The complete neural net recogniser is formed from two parts: a front-end which transforms the complex acoustic specification of the speech into a simplified phonetic feature specification, and a whole-word discriminator net. Each level was trained separately, thus considerably reducing the time necessary to train the overall system.
Type: | Proceedings paper |
---|---|
Title: | Two-level recognition of isolated word using neural nets |
Event: | 1989 First IEE International Conference on Artificial Neural Networks, (Conf. Publ. No. 313) |
Location: | LONDON, ENGLAND |
Dates: | 16 October 1989 - 18 October 1989 |
ISBN: | 0-85296-388-2 |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | https://ieeexplore.ieee.org/document/51937/similar... |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Neural networks, Speech recognition |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Speech, Hearing and Phonetic Sciences |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10091731 |
Archive Staff Only
![]() |
View Item |