hi all , I am a new member in this group and I work on SR for more than one year , now I want to use a neural net (MLP) for isolated word recognition in small size vocabulary that is user dependant , but I do not know which features are the best and disciminant and have less amount to feed to NN . if anyone know anything about this I will be glad to hear about it , and I will be glad if I help anyone in SR . scincerely Parisa

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Hi Parisa, I am not sure if this gives a complete answer to your query, but I would like to put forward some of my views. I feel cepstrum coeffcients are best features for discriminating speakers. A techniques to reduce the feed for an NN is vector Quantise the cepstrum features and combining them with Formant frequencies. Hope this helps.. Best, Nagesh. PS: Anyone: Please correct me if I am wrong. --- wrote: > hi all , > I am a new member in this group and I work on SR for more than > one year , now I want to use a neural net (MLP) for isolated word > recognition in small size vocabulary that is user dependant , but I > do not know which features are the best and disciminant and have less > amount to feed to NN . if anyone know anything about this I will be > glad to hear about it , and I will be glad if I help anyone in SR . > > scincerely Parisa ===== -- Nandyala S Nagesh. Ph +91 80 6585027/9 Ex 32 __________________________________________________

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