Reply by Ugur Ersoy October 8, 20032003-10-08
FFT analysis gives you the frequency components but you miss the
loaclized time properties. You can make use of wavelet decomposition
and look at the features at different frequency sub-bands. Cross
correlation is also a good tool, but you have to be good at
interpreting the results..

--- In , "Rick Lee" <rlee@a...> wrote:
> Dear All,
>
> I am doing a project for speech recognition, which method will be
> good to compare two speechs and tell how much they are matched?
>
> I am trying using LPC and FFT, but the result is not so good, maybe
I
> should do some quantiztion first, any idea?
>
> Thanks a lot!
>
> Rick


Reply by krish October 5, 20032003-10-05
Hi Rick,
For comparing the similarity of two speech signals the best tool would be cross correlation.
regards,
Krishna.



Reply by Rick Lee October 4, 20032003-10-04
Dear All,

I am doing a project for speech recognition, which method will be
good to compare two speechs and tell how much they are matched?

I am trying using LPC and FFT, but the result is not so good, maybe I
should do some quantiztion first, any idea?

Thanks a lot!

Rick