Path: utzoo!mnetor!tmsoft!torsqnt!news-server.csri.toronto.edu!clyde.concordia.ca!thunder.mcrcim.mcgill.edu!snorkelwacker.mit.edu!apple!julius.cs.uiuc.edu!psuvax1!psuvm!barilvm!bimacs!guedalia From: guedalia@bimacs.BITNET (David Guedalia) Newsgroups: comp.ai.neural-nets Subject: Re: self organising nets in speech recognition Message-ID: <2643@bimacs.BITNET> Date: 20 Dec 90 08:27:14 GMT References: <10793.27653a00@ul.ie> Reply-To: guedalia@bimacs.UUCP (David Guedalia) Organization: Bar-Ilan University, Israel. Lines: 19 In article <10793.27653a00@ul.ie> oreillyj@ul.ie writes: > >Could anyone give me any references to work carried out on automatically >segmenting speech signals using neural nets. Another area that is also >of interest is that of feature extraction using neural nets. These two >sections will hopefully be part of a speech recognition system which is >currently using neural nets for phoneme recognition. > I think Professor T. Kohenen has done exactly that. I am not sure where it is published. He used a Fast Fourier Transform to preprocess the voice signal. Then fed it into a Kohenen Feature Map. This system suceded in dividing the Finish language into 19 (I am not sure?) phonemes. Maybe take a look at; Kohenen T., Associative Memory and Self Organization. David