On 19/02/2011 01:53, Raeldor wrote:
> Are there any good techniques to either remove or detect the amount of
> non-harmonic data (white noise?) in speech?  I really want to remove
> or detect the 's', 'z' etc. sounds in the sample.  Is this possible?
>
> Thanks
> Rael

There is a standard name for this in audio production - a "de-esser". 
Googling this will provide plenty of information. The standard approach 
(inasmuch as there is one) is band-specific dynamic audio compression, 
based on the "sss" part of the sound being (a) relatively-speaking much 
higher than the voiced parts of speech (higher than "fff" and "th" for 
example) , and (b) higher energy. A wide range of commercial and free 
plugins (VST etc) is available.


I am not so sure about removing "zz" sounds, as that combines the noise 
with a (pitched) voiced component; remove the noise part and the whole 
phoneme has changed. It will change "lose" to "loo", and "physical"  to 
"fi-ickle".

Richard Dobson

On Feb 18, 7:53=A0pm, Raeldor <rael...@gmail.com> wrote:
> Are there any good techniques to either remove or detect the amount of
> non-harmonic data (white noise?) in speech? =A0I really want to remove
> or detect the 's', 'z' etc. sounds in the sample. =A0Is this possible?
>
> Thanks
> Rael

"complement theorem". Take the universe,subtract what you don't want,
and what is left is what you do want. Find a way to detect/remove
harmonic data, and you will be left with non-harmonic data (harmonic
data may be easier to detect than non-harmonic data).

Another approach. Adaptive line enhancer (ALE) predicts/detects
harmonic information.  Instead of using the "tradictional" output from
the ALE (the predicted data), use the "error" output.

Maybe these suggestions will spark something.

Are there any good techniques to either remove or detect the amount of
non-harmonic data (white noise?) in speech?  I really want to remove
or detect the 's', 'z' etc. sounds in the sample.  Is this possible?

Thanks
Rael